Evidence map›Paper›PMID 39497842›Full record

ArticleFrontiers in medicine2024

Clinical ocular prediction model of postoperative ametropic amblyopia in patients with congenital ectopia lentis.

Xinyue Wang, Linghao Song, Yan Liu, Qiuyi Huo, Yang Sun, Zexu Chen, Wannan Jia, Xin Shen, Yalei Wang, Xinyao Chen and 3 more

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In one paragraph

Article in Frontiers in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Xinyue Wang *Eye Institute and Department of Ophthalmology, Eye and ENT Hospital, Fudan University, Shanghai, China.
Linghao Song *Eye Institute and Department of Ophthalmology, Eye and ENT Hospital, Fudan University, Shanghai, China.
Yan LiuEye Institute and Department of Ophthalmology, Eye and ENT Hospital, Fudan University, Shanghai, China.
Qiuyi HuoEye Institute and Department of Ophthalmology, Eye and ENT Hospital, Fudan University, Shanghai, China.
Yang SunEye Institute and Department of Ophthalmology, Eye and ENT Hospital, Fudan University, Shanghai, China.
Zexu ChenEye Institute and Department of Ophthalmology, Eye and ENT Hospital, Fudan University, Shanghai, China.
Wannan JiaEye Institute and Department of Ophthalmology, Eye and ENT Hospital, Fudan University, Shanghai, China.
Xin ShenEye Institute and Department of Ophthalmology, Eye and ENT Hospital, Fudan University, Shanghai, China.
Yalei WangEye Institute and Department of Ophthalmology, Eye and ENT Hospital, Fudan University, Shanghai, China.
Xinyao ChenEye Institute and Department of Ophthalmology, Eye and ENT Hospital, Fudan University, Shanghai, China.
Tianhui ChenEye Institute and Department of Ophthalmology, Eye and ENT Hospital, Fudan University, Shanghai, China.
Yongxiang JiangEye Institute and Department of Ophthalmology, Eye and ENT Hospital, Fudan University, Shanghai, China.
Rui WangDepartment of Ophthalmology, The First Affiliated Hospital of Northwest University, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Despite prompt and appropriate surgical management, a considerable proportion of patients with congenital ectopia lentis (CEL) suffer from postoperative ametropic amblyopia. To predict and identify at-risk patients early, and ensure timely amblyopia treatment, we conducted a thorough investigation into the onset and progression patterns of postoperative amblyopia in patients with CEL. Moreover, an ocular prediction model was constructed for amblyopia. Methods: In this prospective cohort study, amblyopia analysis was conducted to reveal the prevalence of postoperative amblyopia at different time points of follow-up. Comparative analysis and logistic regression analysis were performed for the development of an amblyopia prediction model. Receiver Operating Characteristic (ROC) analysis, calibration plots, and decision curve analysis (DCA) were used to evaluate the performance of the model. A nomogram was created to determine the probability of postoperative amblyopia. Amblyopia was diagnosed according to the most recent edition of the Amblyopia Preferred Practice Pattern. Results: A total of 889 eyes from 677 patients operated for CEL were enrolled in this study. In the pediatric cohort, the prevalence of amblyopia showed a decreasing trend with follow-up time from 1 month to 3.5 years. A prediction model based on preoperative best-corrected visual acuity (BCVA) and cardiac phenotype was established to predict postoperative amblyopia. For effective individual prediction, a nomogram was created. With great calibration, discrimination, and clinical usefulness, the prediction model demonstrated good performance. Conclusion: The findings underscore that the prevalence of ametropic amblyopia in pediatric CEL patients who underwent lens surgery exhibited a marked decline over time. The prediction model established with preoperative BCVA and cardiac phenotype can provide accurate and individualized predictions of postoperative amblyopia, and it has the potential to assist ophthalmologists in rapidly identifying high-risk patients.

Indexed as

ametropic amblyopiacongenital ectopia lentisnomogramprediction modelvisual prognosis

Identifiers

PMID39497842
PMCPMC11532167

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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.