Evidence map›Paper›PMID 31375139›Full record

ArticleReproductive health2019

Prevalence, sociodemographic determinants and self-reported reasons for hysterectomy in India.

Chander Shekhar, Balram Paswan, Abhishek Singh

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Reproductive health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06026527 (Intra-operative Magnesium Sulphate for Post-operative Pain in Patients Undergoing Total Abdominal Hysterectomy Under General Anesthesia), which is not on this map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 pooled it
6.4field-weighted citation impact, top 3% 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.

NCT06026527 phase3completednot on this mapstarted 2024, after this paper: background citation

Intra-operative Magnesium Sulphate for Post-operative Pain in Patients Undergoing Total Abdominal Hysterectomy Under General Anesthesia

TypeinterventionalSponsorTribhuvan University Teaching Hospital, Institute Of Medicine.Ran2024 to 2024Enrolled42ConditionsPost-operative PainArmsMagnesium sulfate, Normal Saline
3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 2 syntheses or guidelines pooled it, 77 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Observational
  15. Article
  16. Article
  17. Article
  18. Uterine Factor Infertility, a Systematic Review.Journal of clinical medicine · 2022
    Review
  19. Article
  20. 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

3 authors at 1 institution in 1 country.

Chander ShekharDepartment of Fertility Studies, International Institute for Population Sciences (IIPS), Mumbai, India. buddhab@iips.net.
Balram PaswanDepartment of Population Policies and Programmes, International Institute for Population Sciences (IIPS), Mumbai, India.
Abhishek SinghDepartment of Public Health and Mortality Studies, International Institute for Population Sciences (IIPS), Mumbai, India.
International Institute for Population Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEvidence of hysterectomy in India is limited mainly due to lack of information in large-scale nationally representative health surveys. In 2015-16, the fourth National Family Health Survey (NFHS-4) - a cross-sectional survey - collected for the first time direct information on hysterectomy and self-reported reasons for undergoing the procedure among women in the reproductive age group. This paper examines the prevalence and determinants of hysterectomy in India among women aged 30-49 years in 29 states and seven union territories (UTs) of India using the NFHS-4 dataset.

methodsPercentage weighted by sampling weights was used for estimating the prevalence of hysterectomy. The paper used crosstabulations and percentage distributions to estimate the prevalence of hysterectomy across different socioeconomic backgrounds and reasons for undergoing hysterectomy respectively. A multivariate binary logistic regression model was also used to find statistically significant determinants of hysterectomy.

resultsIn India as a whole, 6 % of women aged 30-49 years had undergone a hysterectomy. The percentage of women who had undergone the procedure was found to vary considerably across the states and the UTs (from a minimum of 2% in Lakshadweep to a maximum of 16% in Andhra Pradesh). A noticeable fact that emerged was that the majority of the hysterectomies were performed in the private sector except in the northeast region. Years of schooling, caste, religion, geographic region, place of residence, wealth quintiles, age, parity, age at first cohabitation, marital status, and body mass index of women were found to be the sociodemographic determinants statistically associated with hysterectomy in India. The reasons reported frequently for hysterectomy were excessive menstrual bleeding/pain (56%), followed by fibroids/cysts (20%).

conclusionThe percentage and likelihood of undergoing hysterectomy are relatively high among women from older age groups (45-49), those who reside in rural areas, those without schooling, those who are obese, those having high parity, those with a low age at first marriage, and those who reside in the eastern and southern parts of India. The policy implication of these findings is that the reproductive health program managers should ensure regular screening and timely treatment of the problems resulting in hysterectomy.

Indexed as

Body Mass IndexFamily CharacteristicsParitySelf ReportSocioeconomic FactorsAdultCross-Sectional StudiesFemaleHumansHysterectomyIndiaMiddle AgedPregnancyPrevalencePrivate SectorRural PopulationDeterminantsHysterectomyIndiaPrevalenceSelf-reported reasonsSociodemographic

Identifiers

PMID31375139
PMCPMC6679457
OpenAlexW2964990002

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.