Evidence map›Paper›PMID 37026282›Full record

ArticleIndian journal of ophthalmology2023

A case-control study of the ocular surface and tear film parameters in gestational diabetes mellitus.

Chaithanya B Singh, Sheetal A Savur

Abstract read
In one paragraph

Article in Indian journal of ophthalmology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  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

2 authors.

Chaithanya B SinghDepartment of Ophthalmology, Yenepoya Medical College, Mangalore, Karnataka, India.
Sheetal A SavurDepartment of Ophthalmology, Yenepoya Medical College, Mangalore, Karnataka, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Gestational diabetes mellitus (GDM) is fairly common in India. There is an interplay of various factors like androgens, sex hormone-binding globulin (SHBG), estrogen, and progesterone on the tear film in pregnancy. Diabetes mellitus in itself affects the lacrimal function unit (LFU) and ocular surface. This study was therefore performed to assess the effect of the various factors on the tear film function and ocular surface in GDM using different diagnostic tests. Methods: Case-control study includes 49 subjects after calculating the sample size. Cases of newly diagnosed GDM in their second or third trimester of pregnancy without any ocular or systemic comorbidities. The following standard tests were performed, namely, ocular surface disease index (OSDI) scoring, Schirmer's test, tear film breakup time (TBUT), and ocular surface staining (SICCA). Results: The two study groups did not differ significantly in terms of age, gestational age, and presenting symptoms. None of the patients had diabetic retinopathy, and the ocular surface was unaffected in both groups. There was a significant difference in the Schirmer's II test (P = 0.01) between the groups, while Schirmer's I (P = 0.06) and TBUT (P = 0.07) were not significant. Conclusion: Our study suggests that GDM patients can potentially suffer from DES despite the lack of symptoms and may be the basis for conducting larger studies to justify routine screening of GDM for DES in order to improve the quality of life of pregnant women.

Indexed as

Diabetes, GestationalDry Eye SyndromesCase-Control StudiesEyeFemaleHumansPregnancyQuality of LifeTearsDry eyegestational diabetes mellituspregnancy

Identifiers

PMID37026282
PMCPMC10276754

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

None linked

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.