Evidence map›Paper›PMID 26091849›Full record

ArticleDrug safety2015

Indigenous Medicine Use for Sex Selection During Pregnancy and Risk of Congenital Malformations: A Population-Based Case-Control Study in Haryana, India.

Sutapa Bandyopadhyay Neogi, Preeti H Negandhi, Navraj Sandhu, Ravi Kant Gupta, Abhijit Ganguli, Sanjay Zodpey, Amarjeet Singh, Arun Singh, Rakesh Gupta

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Article in Drug safety, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
6.0field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 15 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 7 institutions in 2 countries.

Sutapa Bandyopadhyay NeogiIndian Institute of Public Health-Delhi (IIPH-D), Public Health Foundation of India (PHFI), Plot number 47, Sector 44, Gurgaon, 122002, Haryana, India, sutapa.bneogi@iiphd.org.
Preeti H Negandhi
Navraj Sandhu
Ravi Kant Gupta
Abhijit Ganguli
Sanjay Zodpey
Amarjeet Singh
Arun Singh
Rakesh Gupta
Mission Health · USPublic Health Foundation of India · INGovernment of Haryana · INGovernment of India · INInstitute of Public Health · INPost Graduate Institute of Medical Education and Research · INThapar Institute of Engineering & Technology · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCongenital malformations (CMFs) are a major public health problem in India. Consanguineous marriages, infections during pregnancy, folic acid deficiency during the periconceptional period, exposure to pesticides and a history of intake of drugs during pregnancy have been hypothesized as risk factors. Drugs include oral contraceptive pills, progesterone analogues, medications for ailments and indigenous drugs to bear male offspring. It is important to analyze the risk factors in order to implement preventive measures. The prime objective of this study was to study the risk factors of visible structural CMFs, with a focus on indigenous medicines for sex selection.

methodsA population-based, case-control study was undertaken in Haryana state. Cases included children (0-18 months) with any apparent structural deformity as reported by various Government sources. A consecutive birth from the same area as the case was labelled and included as the control. The sample size calculated was 175 in each group. Mothers of every case and control were interviewed at their respective homes using a structured tool. Descriptive analysis, bivariate analysis, followed by logistic regression was conducted to establish the association between risk factors and CMFs.

resultsThe sociodemographic profiles of the cases and controls were similar. Among the various risk factors studied, more than two living children (unadjusted odds ratio [OR] 1.6, 95 % CI 1.04-2.4) and intake of sex-selection drugs (unadjusted OR 2.8, 95 % CI 1.6-5.1) were significant risk factors on bivariate and regression analyses. The risk of having a child with CMFs was threefold more among mothers with a history of intake of indigenous medicines for sex selection (adjusted OR 3; 95 % CI 1.7-5.6).

conclusionsThe intake of indigenous drugs during pregnancy increased the risk of CMFs almost threefold. This has social as well as economic implications, and hence needs further investigation.

Indexed as

Abnormalities, Drug-InducedAdolescentAdultCase-Control StudiesCongenital AbnormalitiesFemaleHumansIndiaInfantInfant, NewbornLogistic ModelsMaleMedicine, TraditionalMiddle AgedPregnancyRisk Factors

Identifiers

PMID26091849
OpenAlexW629603695

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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.