Evidence map›Paper›PMID 37324361›Full record

ArticleJournal of obstetrics and gynaecology of India2023

Comparison of Feto-maternal Outcomes Among Various BMI Groups As Per Asia Pacific Standards: An Observational Retrospective Comparative Study in a Private Tertiary Care Center in Delhi.

Arpita De, Aruna Nigam, Sumedha Sharma, Arifa Anwar

Open access · greenAbstract read
In one paragraph

Article in Journal of obstetrics and gynaecology of India, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

4 authors at 2 institutions in 1 country.

Arpita DeDepartment of Obstetrics and Gynecology, Hamdard Institute of Medical Sciences and Research (HIMSR), Jamia Hamdard, New Delhi, 110062 India.
Aruna NigamDepartment of Obstetrics and Gynecology, Hamdard Institute of Medical Sciences and Research (HIMSR), Jamia Hamdard, New Delhi, 110062 India.
Sumedha SharmaDepartment of Obstetrics and Gynecology, Hamdard Institute of Medical Sciences and Research (HIMSR), Jamia Hamdard, New Delhi, 110062 India.
Arifa AnwarDepartment of Obstetrics and Gynecology, Hamdard Institute of Medical Sciences and Research (HIMSR), Jamia Hamdard, New Delhi, 110062 India.
Jamia Hamdard · INInstitute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To compare the feto-maternal outcomes among various BMI groups as per Asia Pacific Standards. Method: This is a retrospective non-interventional observational study on 1396 antenatal women with singleton pregnancy. Their BMI based on pre-pregnancy weight was calculated and the women were divided into various groups as per Asia Pacific standards for BMI classification. Details of associated morbidities and delivery outcomes were noted in a pre-structured proforma and a comparison was made among the various groups using Chi square test. A Results: Among the 1396 women under study, 10.6% were underweight, 36% had normal weight, 21% were overweight while 32% were obese or very obese. There was a significant association of low BMI with preterm labor ( Conclusion: Asia Pacific references should be used for studies related to all studies on BMI and pregnancy. All women having BMI outside the normal BMI spectrum are at increased risk of antenatal and postnatal complications. Early identification of such women will enable careful evaluation and counseling to improve the reproductive outcome and feto-maternal health.

Indexed as

Body mass indexObesityPregnancy

Identifiers

PMID37324361
PMCPMC10267023
OpenAlexW4313638434

What OpenQuestion holds

Textmetadata
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.