Evidence map›Paper›PMID 30918822›Full record

ArticleInternational journal of ophthalmology2019

Responsiveness and minimal clinically important difference of the Chinese version of the Low Vision Quality of Life Questionnaire after cataract surgery.

Wen-Wen Xue, Pei Zhang, Hai-Dong Zou

Abstract read
In one paragraph

Article in International journal of ophthalmology, 2019. 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

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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.

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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

3 authors.

Wen-Wen XueDepartment of Ophthalmology, Shanghai Eye Diseases Prevention and Treatment Center, Shanghai 200040, China.
Pei ZhangDepartment of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, China.
Hai-Dong ZouDepartment of Ophthalmology, Shanghai Eye Diseases Prevention and Treatment Center, Shanghai 200040, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo investigate the Chinese version of the Low Vision Quality of Life Questionnaire (CLVQOL) as an instrument for obtaining clinically important changes after cataract surgery.

methodsPatients underwent cataract surgery in Shanghai General Hospital, Shanghai Jiao Tong University, who fit the inclusion criteria were recruited. Two CLVQOLs were administered, including a preoperative CLVQOL and a CLVQOL at the end of the 3mo follow-up period, and were completed using face-to-face interviews or phone interviews conducted by trained investigators. The minimal clinically important difference (MCID) was calculated using an anchor-based method and a distribution method. In addition, the responsiveness of the questionnaire was measured.

resultsA total of 155 residents were enrolled. The average visual acuity (VA) preoperatively was 0.08 (SD=0.05), and it increased to 0.47 (SD=0.28) at the end of follow-up. Statistically significant positive changes in the CLVQOL scores indicated significant improvement of vision related quality of life after cataract surgery. With the larger value between the two results as the final value, the MCID values of the CLVQOL (scores of the four scales as well as the total score) were 8.94, 2.61, 4.34, 3.10 and 17.63, respectively. The CLVQOL has both good internal and external responsiveness.

conclusionCLVQOL scores are appropriate instruments for obtaining clinically important changes after cataract surgery. This study is an effective exploration for establishing cataract surgery efficacy standards, which helps clinical and scientific research workers in ophthalmology to gain a more in-depth understanding when using CLVQOL.

Indexed as

ChineseChinese Version of the Low Vision Quality of Life Questionnaireminimal clinically important differenceresponsiveness

Identifiers

PMID30918822
PMCPMC6423376

What OpenQuestion holds

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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.