The Expectation Debt
Relative gain and residual refractive error following cataract surgery
4th of October, 2026
Dr Grant Hannaford
www.aaoo.net.au
Case presentation
A patient presents for a routine review. They had cataract surgery seven months ago and were delighted with the outcomes. Prior to the operation they refracted as Post-operatively they now measure with a negligible residual cylinder. They were told at their post-operative visit that they would manage with a pair of ready-made readers, and for a while this was the case. After a few months the patient is not delighted any more. Their distance vision "isn't as sharp as it was after the surgery", and the readers "don't seem to work like they did at first", they want to know whether something has gone wrong with the surgery.
In the case considered here, examination establishes that the post-operative refractive state is stable and that no new ocular pathology accounts for the complaint. The surgery achieved a substantial reduction in refractive error. What may have changed is the reference against which the patient judges their vision, together with their understanding of the correction that might still be needed. Most experienced practitioners will recognise this presentation. A patient who was initially satisfied returns several months later with concerns about distance or near vision, often to the optometric practice providing ongoing care. This article considers how the magnitude of the initial improvement and the remaining refractive error may contribute to that pattern, and examines the limits of a quantitative explanation.
Part I The clinical pattern
The psychological honeymoon
The early response to cataract surgery in a highly ametropic patient is readily understood from the scale of the optical change involved. Removal of the cataract improves light transmission and contrast sensitivity independently of the refractive outcome. For the high hyperope or myope, surgery may also remove a substantial spectacle correction and the optical effects associated with it, including magnification or minification, peripheral aberration, prismatic effects in eccentric gaze, field restriction and, with high plus lenses, ring scotoma. Lens thickness, weight and cosmetic effects are also reduced.
A patient moving from to has therefore experienced considerably more than a reduction in refractive error. The residual is initially considered in the context of a very large improvement in unaided vision and a substantial change in the optical system through which the patient has viewed the world for many years. This distinction is relevant when considering the patient's response at the early post-operative review. A residual refractive error may be present and measurable without being particularly apparent to the patient. In a previously high ametrope, the immediate comparison is with their pre-operative vision rather than with the best acuity subsequently obtainable by refraction. The magnitude of the improvement can therefore dominate their assessment of the outcome.
Over time, this comparison between states inevitably changes. The post-operative visual state becomes familiar and increasingly forms the patient's reference for normal vision. Residual refractive error that was present from the outset may then become more apparent, particularly during tasks requiring finer spatial resolution. This provides a plausible explanation for patients who are initially very satisfied following surgery but subsequently report that their vision appears to have deteriorated despite little or no measurable clinical change.
The baseline shift
Adaptation to the post-operative state alters the reference against which vision is judged. During the early post-operative period, the relevant comparison is commonly between pre-operative and post-operative vision. After several weeks or months, the post-operative state has become familiar and the comparison is increasingly between unaided vision and the level of vision the patient expects to have following successful cataract surgery.
Residual refractive error consequently becomes more apparent. A residual +0.75 D sphere, 1.00 D of cylinder or modest anisometropia may have been present at the first post-operative review without producing a significant complaint. Once the initial improvement has become familiar, the same refractive error may be sufficient for the patient to notice reduced distance clarity, difficulties with particular tasks or a difference between the two eyes.
Patients will generally describe this in functional rather than refractive terms. They may report that vision has become less clear, that reading spectacles no longer work as well, or that the operated eye has deteriorated. Such descriptions do not establish that the optical state of the eye has changed, rather, they describe the patient's current experience relative to the visual state to which they have adapted. The timing also has an important clinical consequence, with complaints that emerge several months after surgery not necessarily being associated by the patient with the refractive outcome of the procedure. By this stage the patient has often been discharged from surgical care and presents to their optometrist for investigation. The optometrist is then required to distinguish a stable residual refractive error that has become symptomatic from genuine post-operative change.
Part II Describing gain quantitatively
Three related measures are useful when examining the clinical observations quantitively:
- the magnitude of the refractive change produced by surgery,
- the corresponding change in unaided visual acuity
- the remaining difference between unaided and best-corrected visual acuity.
Importantly, these quantities do not behave in the same manner as pre-operative ametropia increases.
1 Notation
For the following analysis:
| Symbol | Quantity |
|---|---|
| R | Pre-operative refractive error, spherical equivalent (D) |
| r | Post-operative residual refractive error (D) |
| b | Blur strength, the dioptric distance of the refractive state from correction (D) |
| MAR | Minimum angle of resolution (arcmin) |
| x | Acuity in logMAR, x = log₁₀(MAR) |
| V | Acuity as a decimal fraction, V = 1/MAR |
| σ | Standard deviation of refractive prediction error (D) |
| τ | Time constant used in the adaptation model |
For a sphero-cylindrical refractive error, blur strength can be represented as the dioptric distance in power-vector space:
A residual refraction of therefore has and .
2 Visual acuity as a logarithmic measure
Visual acuity expressed in logMAR provides a convenient means of describing proportional changes in visual resolution. As:
the difference between two logMAR values is:
A change of logMAR therefore represents a constant ratio of , or approximately in minimum angle of resolution. This proportional relationship is maintained irrespective of the starting acuity. A change from to represents the same logMAR interval as a change from to 6, although the absolute difference in resolvable detail is considerably different. This property is useful when considering the response of a patient to a large change in refractive state. The improvement experienced following cataract surgery is more appropriately represented as a proportional change in visual resolution than as the arithmetic difference between the pre-operative and post-operative refractive errors.
3 Relationship between refractive blur and visual acuity
Blendowske's empirical model, derived from earlier work by Raasch, provides a simple relationship between refractive blur and relative visual acuity 1,2:
where MARbc represents best-corrected minimum angle of resolution. The corresponding logMAR penalty associated with residual blur is:
The model was derived using natural pupils within approximately the 2 to 5 mm range and does not explicitly incorporate pupil diameter, cylinder axis or higher-order aberrations 1,3. Its application here is therefore limited to estimating the effect of relatively small residual refractive errors rather than predicting acuity across large amounts of defocus. An advantage for the present analysis is that the function approaches zero appropriately as residual blur approaches zero.
| Residual blur b (D) | MAR ratio | logMAR penalty | Lines lost |
|---|---|---|---|
| 0.25 | 1.06 | 0.026 | 0.3 |
| 0.50 | 1.25 | 0.097 | 1.0 |
| 0.75 | 1.56 | 0.194 | 1.9 |
| 1.00 | 2.00 | 0.301 | 3.0 |
| 1.25 | 2.56 | 0.409 | 4.1 |
| 1.50 | 3.25 | 0.512 | 5.1 |
| 2.00 | 5.00 | 0.699 | 7.0 |
Source: Author calculations using the blur-to-acuity model in reference 1. These values are model estimates, not measured postoperative acuity losses.
The relationship is relatively shallow for small residual errors. A blur strength of 0.25 D corresponds to approximately 0.026 logMAR, or around one-quarter to one-third of a line. At 0.50 D the predicted loss approaches one line, while 0.75 D produces a loss of approximately 0.19 logMAR, close to two lines. A residual blur of 1.00 D corresponds to approximately 0.30 logMAR, or three lines. These values provide useful context for the post-operative patient. A residual refractive error may represent a satisfactory surgical outcome while still producing a measurable and clinically relevant difference between unaided and best-corrected visual acuity 1,4.
4 Relative gain and residual deficit
The effect can be considered using two measures of improvement together with the remaining visual deficit. The proportion of pre-operative refractive error eliminated by surgery can be expressed as:
A corresponding acuity gain can be estimated from the Blendowske relationship:
The residual deficit relative to best-corrected acuity is:
Both measures of gain depend upon the starting refractive error R and the residual error r. The residual deficit depends only upon r. Consequently, two patients with the same post-operative refractive error may have experienced very different proportional improvements while retaining the same predicted reduction in unaided acuity relative to their best correction.
| Pre-operative R (D) | GR | GA (logMAR) | Lines gained | Residual deficit (lines) |
|---|---|---|---|---|
| 1.00 | 25% | 0.107 | 1.1 | 1.9 |
| 1.50 | 50% | 0.318 | 3.2 | 1.9 |
| 2.50 | 70% | 0.667 | 6.7 | 1.9 |
| 4.00 | 81% | 1.037 | 10.4 | 1.9 |
| 5.50 | 86% | 1.301 | 13.0 | 1.9 |
| 7.00 | 89% | 1.505 | 15.1 | 1.9 |
| 10.00 | 93% | 1.811 | 18.1 | 1.9 |
Source: Author calculations using reference 1. Large pre-operative errors are extrapolations, not observed postoperative cohort results. The proposed perceptual interpretation has not been validated.
This relationship is illustrated in Table 2. With a residual error of 0.75 D, the predicted deficit remains approximately 1.9 lines across all starting refractive errors. The magnitude of the improvement, however, increases substantially with increasing pre-operative ametropia. For a patient beginning at +1.00 D, the refractive change is relatively modest and the residual error remains a substantial component of their post-operative refractive state. At +7.00 D, the same 0.75 D residual follows a much larger change in unaided visual performance. The residual optical deficit is identical in the model, although its immediate perceptual significance is likely to be much smaller in the context of the larger initial improvement.
The higher values of R in Table 2 should be interpreted cautiously. Blendowske's model was not developed to predict unaided acuity at very large refractive errors, and cataract itself contributes to the pre-operative acuity deficit 3. These rows are therefore useful for demonstrating the behaviour of the relationship rather than predicting literal numbers of chart lines gained following surgery.
5 Modelling the timing of a refractive complaint
The change in the patient's reference point can be represented by a simple adaptation model. Let xref denote the internal reference against which the patient judges current acuity, xpre the pre-operative acuity, and xexp the acuity expected following surgery. If the reference approaches the expected outcome exponentially, then:
Here, t represents elapsed time and τ is an assumed time constant. A margin between the reference acuity and current acuity, xnow, can then be defined as:
S(t) is used here as a model quantity rather than a validated measure of patient satisfaction. At surgery, the margin is xpre − xnow. As time increases, it approaches xexp − xnow. If the initial improvement is positive but the eventual expectation is better than the achieved unaided acuity, the margin crosses zero at:
This expression requires xpre > xnow > xexp. If the expected outcome is met or exceeded, the model does not imply a later transition to dissatisfaction. Likewise, a zero residual deficit does not produce a finite crossing time under the assumptions used below. For an illustrative case in which expected acuity and best-corrected acuity are both 0 logMAR, substitution of the blur model gives:
| Pre-operative R (D) | Residual r (D) | tcross / τ | Months if τ = 8 weeks |
|---|---|---|---|
| 1.00 | 0.50 | 1.13 | 2.1 |
| 1.50 | 0.75 | 0.97 | 1.8 |
| 2.50 | 0.75 | 1.49 | 2.7 |
| 4.00 | 0.75 | 1.85 | 3.4 |
| 7.00 | 0.75 | 2.17 | 4.0 |
| 7.00 | 1.00 | 1.73 | 3.2 |
| 10.00 | 1.25 | 1.59 | 2.9 |
Source: Author’s heuristic calculations. Neither the exponential adaptation model nor the illustrative eight-week time constant is established by the listed references. These intervals are not predictions of clinical presentation.
The time constant of eight weeks in Table 3 is illustrative. Neither this value nor the exponential form has been established from longitudinal measurements of post-operative satisfaction. The tabulated intervals therefore describe the behaviour of the model and cannot be used to predict when an individual patient will present. For a fixed residual error, a greater pre-operative deficit increases the interval before the reference crosses the achieved acuity. At a residual error of 0.75 D, increasing the pre-operative error from 1.50 D to 7.00 D increases the calculated interval from 0.97τ to 2.17τ. This is consistent with the proposed explanation for a later complaint in a patient who initially experienced a larger improvement.
The increase is logarithmic with respect to the ratio of the acuity deficits. Across the examples in Table 3, the selected time constant produces intervals of a few months. This does not establish a fixed upper limit to adaptation or imply that every patient will eventually become dissatisfied. A larger residual error reduces the calculated interval when the pre-operative error is held constant. For a pre-operative error of 7.00 D, increasing the residual from 0.75 D to 1.00 D reduces the interval from 2.17τ to 1.73τ. Whether these relationships describe clinical presentation would require prospective assessment of refraction, acuity, expectations and symptoms over time.
6 Estimating residual error from reported refractive outcomes
Refractive prediction error is commonly reported as the proportion of eyes within ±0.50 D or ±1.00 D of the intended target 5,6. If prediction error is assumed to follow a normal distribution with zero mean, the proportion p within a specified limit implies a standard deviation:
Φ⁻¹ is the inverse cumulative distribution function of the standard normal distribution. The resulting values provide a common scale on which to compare reported proportions, although their interpretation depends on the distributional assumptions and the populations from which the proportions were obtained.
| Input proportion or benchmark | Derived σ (normal approximation) |
|---|---|
| 80% within ±0.50 D (selected multicentre cohort; senior surgeons)5 | 0.39 D |
| 97% within ±1.00 D (illustrative input; source unverified) | 0.46 D |
| 55% within ±0.50 D (historical NHS benchmark, cited secondarily) 7 | 0.66 D |
| ~60% within ±0.50 D (illustrative short-eye input; see source note) | 0.59 D |
| ~62% within ±1.00 D (approximation across formulas; AL ≥28 mm; see source note)11 | 1.14 D |
Sources: Reference 5 supplies the 80% input; reference 7 cites the historical benchmark secondarily. The 97% and 60% inputs are retained only as illustrations and are not verified observed rates. Reference 8 concerns eyes with axial length <22.00 mm and does not establish the stated 60% rate for an <21.5 mm subgroup. In reference 11, 60.0–64.3% of eyes were within ±1.00 D across formulas after mean prediction error was adjusted to zero; 62% is an approximation, not a pooled rate. All σ values are author-derived under zero-mean normality. Converting a benchmark threshold does not establish a historical population SD.
The selected multicentre cohort reported 80% within ±0.50 D 5. Under the zero-mean normal approximation, inputs of 80% within ±0.50 D and 97% within ±1.00 D yield standard deviations of approximately 0.39 D and 0.46 D respectively. The source of the 97% input has not been verified, and the two proportions have not been established as observations from the same population. Their difference therefore cannot be used here as evidence of heavier distribution tails.
The selected illustrative inputs associated with short- and long-eye studies produce larger normal-equivalent standard deviations. The approximate 62% input within ±1.00 D gives 1.14 D under the assumed distribution, almost three times the 0.39 D estimate. This is a comparison of model conversions from selected inputs, not a comparison of measured population standard deviations. The qualifications in the Table 4 source note apply throughout. Formula choice, lens constants, measurement methods and case selection limit generalisation 8–11. For a distance target of emmetropia, with negligible residual cylinder, the same normal approximation can be used to estimate the average acuity penalty associated with residual spherical error:
| σ (D) | Mean |r| | Expected penalty (logMAR) | Lines |
|---|---|---|---|
| 0.39 (selected cohort input) | 0.31 D | 0.056 | 0.6 |
| 0.59 (illustrative short-eye input) | 0.47 D | 0.109 | 1.1 |
| 1.14 (approximate long-eye input) | 0.91 D | ~0.28 | ~2.8 |
Source: Author calculations combining the blur model in reference 1 with normal-equivalent σ inputs derived from the selected proportion in reference 5, the illustrative 60% short-eye scenario and the approximate long-eye input from reference 11. The source and population qualifications in Table 4 apply. No listed study measured these average acuity losses; the rows are selected modelling scenarios, not representative pooled estimates for typical, short or very long eyes.
The illustrative estimates range from approximately half a line to nearly three lines. These are averages under the selected model assumptions, rather than measured losses in the corresponding clinical populations. Prediction error relative to an intended target is not equivalent to residual error relative to emmetropia when the target is non-zero. Residual cylinder would also require the power-vector representation of blur rather than spherical equivalent alone 1,2.
The mean penalty does not identify the proportion of patients with a larger loss. In particular, a mean is not a median, so the estimates do not imply that half of patients will have a worse outcome.
7 Biometric error and refractive predictability
The refractive outcome depends upon measured ocular dimensions and the assumptions incorporated in the intraocular lens calculation 4,8,11. For approximately independent input errors, a first-order expression for the resulting variance is:
AL denotes axial length, K corneal power and ELP effective lens position. The derivatives describe the sensitivity of the refractive outcome to each input. Covariance terms would also be required if the input errors were correlated. These sensitivities vary with ocular dimensions and lens power. Approximate values commonly used to illustrate the relationship are 2.5 D of refractive change per millimetre of axial length error and about 1 D per dioptre of keratometry error in a typical eye. They are not constants that can be applied unchanged across the full range of biometry.
Effective lens position is particularly relevant in a short eye requiring a high-power implant. A given error in predicted lens position generally has a greater refractive effect as intraocular lens power increases. Prediction of lens position may also be more difficult where the anterior segment dimensions differ from those represented in the formula's development population. These factors contribute to the difficulty of achieving a refractive target in short eyes 8.
In long eyes, the direction and magnitude of prediction error depend upon the formula, measurement method and lens constant optimisation 11,12. Hyperopic prediction errors associated with some older approaches have contributed to the development of axial length adjustments and newer formulae 11,12. It would therefore be inappropriate to assume that all formulae systematically underestimate the required lens power in every long eye. The relationship with the earlier analysis is conditional. A patient with high ametropia may experience a large improvement in unaided vision, while the associated ocular biometry may also make the refractive result less predictable. However, high ametropia does not establish extreme axial length, and refractive error alone cannot identify the uncertainty of the surgical calculation. Where both features are present, the initial improvement may reduce the immediate prominence of a residual error that remains relevant to later visual function.
8 Persistent optical benefits and adaptation
The improvement experienced by a high ametrope also includes changes associated with reduced reliance on spectacles. For a thin spectacle lens, the power-factor contribution to spectacle magnification can be approximated by:
F is lens power in dioptres and d is the distance in metres used in the approximation. Taking d as 0.014 m gives factors of approximately 1.11 for +7.00 D and 0.91 for −7.00 D. These values illustrate the scale of spectacle magnification and minification. They do not, by themselves, predict the complete change in retinal image size after cataract surgery, which also depends upon ocular dimensions, implant position and the original spectacle lens form. Reduced spectacle power may lessen peripheral aberration, prismatic effects in eccentric gaze and field restriction. A patient who previously wore a high plus correction may also experience a reduction in the associated ring scotoma. The extent of these changes depends on the previous correction and the spectacles required after surgery. These benefits may persist even when they are no longer prominent in the patient's assessment. As the new visual state becomes familiar, residual blur may become more noticeable during particular tasks. A later report of reduced clarity can therefore coexist with a sustained improvement relative to the pre-operative state. That interpretation remains conditional on examination showing no new ocular or refractive change.
Part III Clinical consequences
The limitations of ready-made reading spectacles
Ready-made reading spectacles may be suitable following a distance-targeted procedure when residual distance error is small and the two eyes have similar requirements. Their suitability should be established from the post-operative refraction and the patient's working distance, rather than inferred from the magnitude of the surgical improvement. Ready-made spectacles provide equal spherical powers with a fixed optical centre distance. They cannot correct residual astigmatism or provide different powers for anisometropia. Either limitation may be relevant in a patient who previously relied on an individual sphero-cylindrical prescription.
Spectacle correction of anisometropia may introduce unequal image magnification and differential prism away from the optical centres. Rules of thumb relating dioptres of anisometropia to percentage aniseikonia are approximate, and individual tolerance varies. Lens form, vertex distance, the origin of the anisometropia and binocular status need to be considered when assessing symptoms. Prentice's rule describes the prismatic effect of viewing through a lens away from its optical centre:
Here, Δ denotes prism in prism dioptres, rather than the acuity deficit used earlier, and c is decentration in centimetres. A 2.00 D difference between the relevant powers of the two lenses, viewed 8 mm below their optical centres, produces 1.6 prism dioptres of vertical imbalance. This may contribute to symptoms, although the patient's ability to compensate cannot be inferred from the calculated value alone. The pre-operative near function of a high myope also requires discussion. A −7.00 D eye has an approximate far point of 14 cm and may permit unaided viewing of fine detail at that distance 3. A distance-targeted post-operative refraction removes that particular near advantage. The patient may value it despite the limitations of their pre-operative distance vision. The intended target and the likely requirement for near correction should therefore be related to the activities the patient currently performs without spectacles.
Investigation of a late visual complaint
A report of deterioration after cataract surgery requires clinical investigation before it is attributed to changing expectations. The refractive and perceptual explanation developed here applies only where the examination supports a stable optical state and acuity can be corrected to the expected level. Posterior capsule opacification, ocular surface disease, cystoid macular oedema, epiretinal membrane and other macular pathology may contribute to a late complaint. Ocular surface instability may also affect the repeatability of refraction. Dysphotopsia requires assessment on its own clinical features and should not be treated as a residual refractive complaint simply because high-contrast acuity is satisfactory. Comparison with the earlier post-operative refraction and acuity is useful. The assessment should establish whether correction resolves the reported limitation and whether the visual demands that produce symptoms have changed 4. A plausible account of adaptation does not replace examination or establish the cause of a complaint.
Counselling and continuity of care
Pre-operative counselling should relate the intended refractive target to the patient's likely distance and near requirements 4. A distance target can be explained alongside the possibility that a modest prescription may still improve distance clarity and that an individual reading prescription may be needed. Where biometry is challenging, including very short or long eyes, previous refractive surgery, keratoconus or significant astigmatism, the uncertainty should be discussed with the expected benefit. The patient can be told that a substantial improvement and a continuing need for some spectacle correction are compatible outcomes 4. The unvalidated timing model does not justify telling the patient when they will begin to notice that correction is useful.
Recording the intended target and making it available to the practitioner providing subsequent care allows the achieved refraction to be interpreted in context. It also reduces the risk that a planned requirement for correction is later understood as an unexpected failure of treatment. The pre-referral assessment provides an opportunity to record refraction, keratometry, working distances, occupational requirements and valued unaided activities. For a high myope, this includes the near tasks performed after removing spectacles. These observations help connect the choice of refractive target with the patient's everyday visual requirements.
Post-operative refraction should be undertaken when clinically appropriate once the refractive state is sufficiently stable. Early satisfaction does not establish that no useful correction remains. A documented residual error provides a baseline for later comparison, while follow-up should be determined by clinical findings and the patient's needs. Table 3 is an illustration of a proposed mechanism and should not be used as a follow-up schedule.
Conclusion
A large improvement following cataract surgery can coexist with a clinically relevant residual refractive error. The initial improvement depends on the pre-operative state, whereas the modelled residual acuity deficit depends on the remaining blur. This distinction provides a plausible explanation for some patients who initially report a satisfactory result and later become aware of limitations despite a stable refraction.
The adaptation model describes one possible relationship between improvement, expectation and the timing of a complaint. Its assumptions have not been validated sufficiently to predict individual behaviour or the timing of presentation. The clinical implications are more limited: establish the intended target, explain the possible continuing need for correction, document the post-operative refraction and investigate subsequent symptoms.
Clear communication between the surgical and optometric practitioners supports this process. A later need for spectacles can then be considered in relation to the intended outcome and the patient's visual requirements, without assuming either surgical failure or a purely perceptual cause.
Notes on the models used
The blur-to-acuity relationship is an empirical approximation. It does not explicitly incorporate pupil diameter, cylinder axis or higher-order aberrations 1,3. Its use here is primarily to illustrate small residual errors. The large pre-operative errors in Table 2 are extrapolations, and the model does not account for the additional effect of cataract on pre-operative acuity.
For the scalar gain calculations, R and r represent spherical errors or an approximation in which cylinder is negligible. Where cylinder contributes materially, blur strength should be calculated from the sphero-cylindrical refraction. A spherical equivalent of zero does not necessarily indicate zero blur 1,2. Refractive gain is undefined at R = 0.
The exponential adaptation model is heuristic. Its time constant is unmeasured, its satisfaction margin is not a validated outcome measure, and a crossing of that margin has not been shown to correspond to a clinical complaint. The simplified crossing-time calculation additionally assumes best-corrected and expected acuity of 0 logMAR and xpre > xnow > xexp.
The standard deviations inferred from reported proportions depend on zero-mean normality. Prediction error, residual refractive error and blur strength are distinct quantities. Their equivalence in the illustrative acuity calculations requires an emmetropic target and negligible cylinder. The tabulated means describe model expectations and do not specify the median or the outcome of any individual patient.
References
- Blendowske R. Unaided visual acuity and blur: a simple model. Optom Vis Sci 2015; 92: e121–125.
- Raasch TW. Spherocylindrical refractive errors and visual acuity. Optom Vis Sci 1995; 72: 272–275.
- Strasburger H, Bach M, Heinrich SP. Blur Unblurred-A Mini Tutorial. Iperception 2018; 9: 2041669518765850.
- Kieval JZ, Al-Hashimi S, Davidson RS et al. Prevention and management of refractive prediction errors following cataract surgery. Journal of Cataract and Refractive Surgery 2020; 46: 1189–1197.
- Hahn U, Krummenauer F, Kölbl B et al. Determination of valid benchmarks for outcome indicators in cataract surgery: a multicenter, prospective cohort trial. Ophthalmology 2011; 118: 2105–2112.
- Simon SS, Chee YE, Haddadin RI et al. Achieving target refraction after cataract surgery. Ophthalmology 2014; 121: 440–444.
- Mengistu M, Admassu F, Wondale T et al. Refractive Outcome of Cataract Surgery Done at University of Gondar Tertiary Eye Care and Training Center, North West Ethiopia. Patient Related Outcome Measures 2021; 12: 173–179.
- Day AC, Foster PJ, Stevens JD. Accuracy of intraocular lens power calculations in eyes with axial length <22.00 mm. Clin Exp Ophthalmol 2012; 40: 855–862.
- Scholtz SK, Langenbucher A. [Calculating the Human Eye – The Evolution of Biometry for Cataract Surgery]. Klin Monbl Augenheilkd 2020; 237: 933–937.
- Rastogi A, Jaisingh K, Suresh P et al. Comparative Evaluation of Intraocular Lens Power Calculation Formulas in Children. Cureus 2022; 14: e24991.
- Chu Y-C, Huang T-L, Chang P-Y et al. Predictability of 6 Intraocular Lens Power Calculation Formulas in People With Very High Myopia. Frontiers in Medicine 2022; 9: 762761.
- Moshirfar M, Durnford KM, Jensen JL et al. Accuracy of Six Intraocular Lens Power Calculations in Eyes with Axial Lengths Greater than 28.0 mm. Journal of Clinical Medicine 2022; 11: 5947.
