Evidence map›Paper›PMID 40156502›Full record

ArticleActa ophthalmologica2025

Considerations on the Haigis formula: Are better outcomes possible with tuning?

Achim Langenbucher, Nóra Szentmáry, Jascha Wendelstein, Alan Cayless, Benj Fassbind, Peter Hoffmann

Abstract read
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Article in Acta ophthalmologica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Achim LangenbucherDepartment of Experimental Ophthalmology, Saarland University, Homburg, Saar, Germany.ORCID https://orcid.org/0000-0001-9175-6177
Nóra SzentmáryDr. Rolf M. Schwiete Center for Limbal Stem Cell and Aniridia Research, Saarland University, Homburg, Saar, Germany.ORCID https://orcid.org/0000-0001-8019-1481
Jascha WendelsteinDepartment of Experimental Ophthalmology, Saarland University, Homburg, Saar, Germany.ORCID https://orcid.org/0000-0003-4145-2559
Alan CaylessSchool of Physical Sciences, The Open University, Milton Keynes, UK.
Benj FassbindDepartment of Experimental Ophthalmology, Saarland University, Homburg, Saar, Germany.ORCID https://orcid.org/0000-0002-4228-6073
Peter HoffmannAugen- und Laserklinik Castrop-Rauxel, Castrop-Rauxel, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo design a vergence-based lens power formula based on the classical Haigis formula for better outcomes while retaining the original formula architecture.

methodsFour new formula variants (A-D) incorporating a sum of segments correction for axial length, harmonic mean of corneal radii instead of arithmetic mean (all variants), and differing combinations of lower keratometer index (C, D) and an additional term (a3) representing the lens thickness in the effective lens position (B, D) were assessed in an analysis based on four datasets of IOLMaster 700 biometric data for eyes treated with the Hoya Vivinex lens (dataset 1), Alcon SA60AT lens (2), Johnson & Johnson ZCB00 lens (3), and the Bausch & Lomb MX60 lens (4). All parameters (formula constants and keratometer index) were calculated by nonlinear iterative optimisation techniques for minimising the root mean squared prediction error (RMSPE). Performance was assessed in terms of the final RMSPE.

resultsAll four variants showed reductions in RMSPE ranging from 2.8% to 12.6% over the original Haigis formula. For each of the four datasets, variants B and D (with the additional a3 constant) performed better in this respect than variants A and C. In all four cases, variants C and D (with the adjusted keratometer index) performed slightly better than A and B, respectively.

conclusionAlthough not amenable to statistical analysis, the % improvements in RMSPE would appear to be clinically relevant. However, the benefit has to be proven in a prospective multicentric study with a large sample size.

Indexed as

BiometryLenses, IntraocularLens Implantation, IntraocularOptics and PhotonicsRefraction, OcularVisual AcuityAxial Length, EyeCorneaHumansformula constant optimizationformula constantsformula upgradeHaigis formulaIOL power formulavergence calculation

Identifiers

PMID40156502
PMCPMC12235679

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.