Evidence map›Paper›PMID 39853565›Full record

ReviewInternational ophthalmology2025

Intraocular lens power calculation in cataract patients with keratoconus: Bayesian network meta-analysis.

Zhi-Yong Tian, Meng Li, Jing-Shang Zhang, Ying-Yan Mao, Zhao-Xing Guo, Xin Zheng, Peng Zhao, Xiu-Hua Wan

Abstract readReviewNetwork Meta-Analysis
PubMed Publisher
In one paragraph

Review in International ophthalmology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
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

8 authors.

Zhi-Yong Tian *Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Ophthalmology and Visual Sciences Key Laboratory, No.1, Dong Jiao Min Xiang, Dong Cheng District, Beijing, 100730, China.
Meng Li *Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Ophthalmology and Visual Sciences Key Laboratory, No.1, Dong Jiao Min Xiang, Dong Cheng District, Beijing, 100730, China.
Jing-Shang ZhangBeijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Ophthalmology and Visual Sciences Key Laboratory, No.1, Dong Jiao Min Xiang, Dong Cheng District, Beijing, 100730, China.
Ying-Yan MaoBeijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Ophthalmology and Visual Sciences Key Laboratory, No.1, Dong Jiao Min Xiang, Dong Cheng District, Beijing, 100730, China.
Zhao-Xing GuoBeijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Ophthalmology and Visual Sciences Key Laboratory, No.1, Dong Jiao Min Xiang, Dong Cheng District, Beijing, 100730, China.
Xin ZhengShandong Second Medical University, Weifang, 261000, Shandong, China.
Peng ZhaoShandong Second Medical University, Weifang, 261000, Shandong, China.
Xiu-Hua WanBeijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Ophthalmology and Visual Sciences Key Laboratory, No.1, Dong Jiao Min Xiang, Dong Cheng District, Beijing, 100730, China. xiuhuawan@163.com.

Funding

Beijing new-star plan science and technology cross cooperation project 20240484565The National Natural Science Foundation of China 82171037,82471055
6 · The paper itself

Abstract

purposeTo compare the accuracy of intraocular lens (IOL) power calculation formulas in cataract patients with keratoconus (KC).

methodsThis study followed the Preferred Reporting Items for Systematic Reviews and Meta-analysis statementand and was registered on PROSPERO (CRD42024568997). Pubmed, Web of Science, Cochrane Library, and EMBASE were searched for retrospective and prospective clinical studies published until October 2024. The outcome measurement was the percentage of eyes with a predicted error (PE) within ± 0.50 or ± 1.00 diopter (D).

resultsThe study have nine retrospective clinical trials, involving a total of 637 eyes and 18 calculation formulas. According to the ranking based on the surface under the cumulative ranking curve by Bayesian method, the top three formulas were Barrett True-K formula for keratoconus predicted posterior corneal astigmatism (Barrett KC P-PCA), EVO2.0, and Barrett True-K formula for keratoconus measured posterior corneal astigmatism (Barrett KC M-PCA) on the percentage of PE within ± 0.50 D, and the comparison between the three formulas and Barrett Universal II formula has statistical significance. In the range of ± 1.00D, the top three formulas were Barrett KC P-PCA, Barrett KC M-PCA and Kane for keratoconus formula, and the difference was significant. Thereforewe recommend using the Barrett KC P-PCA formula and the Barrett KC M-PCA formula for calculating IOL power in cataract patients with KC.

conclusionThis study revealed that the KC-specific IOL formulas, notably the Barrett KC P-PCA and Barrett KC M-PCA formulas, demonstrated superior accuracy. In clinical practice, when managing patients with different degrees of KC, surgeons should take into account the individual characteristics of each patient and adopt multiple formulas to improve the accuracy of refractive prediction.

Indexed as

CataractKeratoconusLenses, IntraocularOptics and PhotonicsRefraction, OcularBayes TheoremBiometryHumansCataractIntraocular lens power calculation formulaKeratoconusNetwork meta-analysis

Identifiers

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Registered trials

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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.