Evidence map›Paper›PMID 39070848›Full record

ArticleWorld journal of clinical cases2024

Effects of vitrectomy combined with internal limiting membrane peeling in patients with diabetic macular edema.

Lei Wang, Chun-Jie Chen, Ming-Li Wang, Yong Huang, Li-Jian Fang

Abstract read
In one paragraph

Article in World journal of clinical cases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Trial
  2. Article
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.

Lei WangDepartment of Ophthalmology, Liangxiang Hospital of Beijing Fangshan District, Beijing 102400, China.
Chun-Jie ChenDepartment of Ophthalmology, Liangxiang Hospital of Beijing Fangshan District, Beijing 102400, China.
Ming-Li WangDepartment of Ophthalmology, Liangxiang Hospital of Beijing Fangshan District, Beijing 102400, China.
Yong HuangDepartment of Ophthalmology, Liangxiang Hospital of Beijing Fangshan District, Beijing 102400, China.
Li-Jian FangDepartment of Ophthalmology, Liangxiang Hospital of Beijing Fangshan District, Beijing 102400, China. lijianf2023321@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetic macular edema (DME), a chronic microvascular complication of diabetes, is a leading cause of visual impairment and blindness. Pars plana vitrectomy (PPV) can restore the normal macular structure and reduce macular edema, whereas internal limiting membrane (ILM) peeling is used to treat tractional macular diseases. Despite the advantages, there is limited research on the combined effects of PPV with ILM peeling.

aimTo observe the effects of PPV combined with ILM peeling on postoperative central macular thickness (CMT), best-corrected visual acuity (BCVA), cystoid macular edema (CME) volume, and complications in patients with DME.

methodsEighty-one patients (92 eyes) diagnosed with DME at the Beijing Shanqu Liangxiang Hospital between January and December 2022 were randomly divided to undergo PPV alone (control group: 41 patients, 47 eyes) or PPV + ILM peeling (stripping group: 40 patients, 45 eyes); a single surgeon performed all surgeries. The two groups were compared preoperatively and 1 and 3 months postoperatively.

resultsPreoperatively, both groups had comparable values of CMT, BCVA, and CME volume (

conclusionPPV with ILM peeling can significantly improve the visual acuity of patients with DME, reduce CMT, and improve CME with fewer complications.

Indexed as

Best-corrected visual acuityCentral macular thicknessComplicationsDiabetic macular edemaInternal limiting membrane peelingVitrectomy

Identifiers

PMID39070848
PMCPMC11235485

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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.