Evidence map›Paper›PMID 31027141›Full record

ArticleMedicine2019

Efficacy of ranibizumab for the treatment of diabetic retinopathy: A protocol for systematic review of randomized controlled trial.

Yong-Bo Ren, Xing-Jie Su, Yan-Xiu Qi, He-Qun Luan, Qi Sun

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 95% of its field
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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 1 institution in 2 countries.

Yong-Bo RenDepartment of Ophthalmology, First Affiliated Hospital of Jiamusi University, Jiamusi, China.
Xing-Jie Su
Yan-Xiu Qi
He-Qun Luan
Qi Sun
Jiamusi University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious clinical trials have reported that ranibizumab can be used to treat diabetic retinopathy (DR) effectively. However, no study has been conducted to evaluate its efficacy for patients with DR systematically. Thus, this study will specifically and systematically assess the efficacy and safety of ranibizumab for DR.

methodsCochrane Library, EMBASE, PUBMED, Web of Science, Google Scholar, Cumulative Index to Nursing and Allied Health Literature, China National Knowledge Infrastructure, and Chinese Biomedical Literature Database will be searched from inceptions to the March 20, 2019 for studies related to the topic. This study will only consider publicly released randomized controlled trials for evaluating the effect and safety of ranibizumab for DR. No language restrictions will be imposed for all databases search. Methodological quality of each included trial will be assessed by Cochrane risk of bias tool. Statistical analysis will be performed by Stata 12.0 software.

resultsThis study will provide recent summary evidence of ranibizumab for DR. Primary outcomes include percentages with retinopathy improvement, and cumulative probabilities for retinopathy worsening. Secondary outcome consist of visual function, best-corrected visual acuities, central subfield thickness, total macular volume, peripheral visual field loss, retinal neovascularization, and adverse events.

conclusionThe findings of this study may provide theoretical basis for clinical practice refer and may benefit more patients with DR.

Indexed as

Randomized Controlled Trials as TopicSystematic Reviews as TopicAngiogenesis InhibitorsDiabetic RetinopathyHumansMeta-Analysis as TopicRanibizumabAngiogenesis InhibitorsRanibizumab

Identifiers

PMID31027141
PMCPMC6831126
OpenAlexW2941855923

What OpenQuestion holds

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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.