Evidence map›Paper›PMID 37649767›Full record

ArticleJournal of family medicine and primary care2023

Empty stomach together with menstrual bleeding as predictors of committed suicides among women of reproductive age: What a primary physician must know.

Radha Raman Singh, Rajiv Ranjan Das, Vikrant Kabirpanthi, Akash Ranjan Singh, Sanjeev Bakshi, Debranjan Datta, Milind Shiralkar

Open access · goldAbstract read
In one paragraph

Article in Journal of family medicine and primary care, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors at 4 institutions in 1 country.

Radha Raman SinghDepartment of Forensic Medicine and Toxicology, Nalanda Medical College and Hospital Patna, Bihar, India.
Rajiv Ranjan DasDepartment of Forensic Medicine and Toxicology, Nalanda Medical College and Hospital Patna, Bihar, India.
Vikrant KabirpanthiDepartment of Community Medicine Government Medical College Shahdol, Madhya Pradesh, India.
Akash Ranjan SinghDepartment of Community Medicine, Birsa Munda Government Medical College and Hospital Shahdol, Madhya Pradesh, India.
Sanjeev BakshiDepartment of Statistics, Indira Gandhi National Tribal University, Amarkantak, Madhya Pradesh, India.
Debranjan DattaDepartment of Pharmacology, Birsa Munda Government Medical College and Hospital Shahdol, Madhya Pradesh, India.
Milind ShiralkarDepartment of Physiology, Birsa Munda Government Medical College and Hospital Shahdol, Madhya Pradesh, India.
Government Medical College and Hospital · INNalanda Medical College and Hospital · INGovernment Medical College · INIndira Gandhi National Tribal University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Women of reproductive age group (WoRAG) are among the most vulnerable groups to suicide in India. The present study intended to develop a mathematical model to differentiate suicides from homicides among WoRAG. Methods: It was a cross-sectional study based on a record review of autopsy at Patna, India, from 2016 to 2021. The cause of deaths was ascertained by autopsies and other records independently by two investigators to reduce the interobserver bias. Independent variables were tested with confirmed suicides to calculate statistically significant association. These variables were further used for developing prediction models for the suicides by multivariate logistic regression analysis. Results: Out of total of 520 autopsies of WoRAG performed by investigators, the cause of death has been confirmed for 62. Of them, 30 were confirmed as suicides. In univariate analysis, suicides were associated with the menstrual bleed (OR 35 CI 6.9,179), gastric emptying (OR 3.9 CI 1.2,12.8), hanging, poisoning, and drowning as mode of death (OR 435 CI 37.4,5061.9). By logistic regression, three prediction models were built to predict suicide; Model I: gastric emptying, Model II: menstrual bleed, and Model III: including both. The area under the curve (AUC) for Models I, II, and III was 0.67 (95%CI 0.34,0.99), 0.92 (95%CI 0.75,1.00), and 0.94 (95%CI 0.82,1.00), respectively. The AUC of Model III differs significantly from that of Model I ( Conclusion: Menstrual bleed, gastric emptying, and mode of death may be used as a supplement tool in ascertaining the cause of death among WoRAG in medical and legal proceedings.

Indexed as

Area under the curvegastric emptyingpredictors of suicidewomen of reproductive age group

Identifiers

PMID37649767
PMCPMC10465049
OpenAlexW4384913550

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LicenceCC BY-NC-SA
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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.