Evidence map›Paper›PMID 35492856›Full record

ArticleJournal of obstetrics and gynaecology of India2022

Diagnostic Accuracy of Diabetes in Pregnancy Study Group of India with Carpenter-Coustan and National Diabetes Data Group Criteria for Diagnosis of Gestational Diabetes Mellitus and Correlation with Fetomaternal Outcome.

Pikee Saxena, Tanya Shubham, Manju Puri, Anju Jain

Abstract read
In one paragraph

Article in Journal of obstetrics and gynaecology of India, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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, 1 synthesis or guideline pooled it.

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4 · The record

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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

4 authors.

Pikee SaxenaDepartment of Obstetrics and Gynecology, Lady Hardinge Medical College and SSKH, J-36 Saket, New Delhi, 110017 India.ORCID 0000-0001-8199-3208
Tanya ShubhamDepartment of Obstetrics and Gynecology, Lady Hardinge Medical College and SSKH, J-36 Saket, New Delhi, 110017 India.
Manju PuriDepartment of Obstetrics and Gynecology, Lady Hardinge Medical College and SSKH, J-36 Saket, New Delhi, 110017 India.
Anju JainDepartment of Biochemistry, Lady Hardinge Medical College and SSKH, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: No previous study compared ACOG and DIPSI criteria for diagnosing gestational diabetes (GDM). This study compared diagnostic accuracy of Diabetes in pregnancy study group of India (DIPSI) with Carpenter-Coustan (CC) and National Diabetes Data Group (NDDG) criteria for diagnosis of GDM and correlation with fetomaternal outcome. Methods: A total of 1029 pregnant women underwent 2 h 75 g OGTT in non-fasting state. After 3-7 days, women were called in fasting state and subjected to 100 g OGTT and fasting, 1, 2, 3 h samples were taken. GDM was diagnosed using DIPSI, CC and NDDG criteria. All women were followed till delivery, and fetomaternal outcome was noted. Results: 10.4% (107) women were diagnosed as GDM by DIPSI, 6.4% (66) by CC and 3.1% (32) by NDDG criteria. Sensitivity of DIPSI with CC was 98.48%, specificity was 95.64%, and diagnostic accuracy was 95.82%. Sensitivity of DIPSI with NDDG was 99.89%, specificity was 92.38%, and diagnostic accuracy was 95.52%. Sensitivity of NDDG with CC was 48.48%, specificity was 100%, and diagnostic accuracy was 96.7%. Women with GDM by all three criteria were seen to have a significantly higher proportion of LSCS, higher birth weight and macrosomia compared to normoglycemic women ( Conclusion: Diagnostic accuracy, sensitivity and specificity of DIPSI are comparable to CC and NDDG criteria; therefore, DIPSI can be recommended for diagnosing GDM with added advantage of low cost, simplicity and convenience. Women diagnosed as GDM by DIPSI, CC and NDDG had significantly higher rate of cesarean delivery, higher birth weight and macrosomia as compared to women with normoglycemia.

Indexed as

CCDIPSINDDG for GDM

Identifiers

PMID35492856
PMCPMC9008099

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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.