Evidence map›Paper›PMID 37666936›Full record

Observational studyScientific reports2023

Prevalence and determinants of hysterectomy in India.

Dejalin Rout, Abhinav Sinha, Subrata Kumar Palo, Srikanta Kanungo, Sanghamitra Pati

Abstract readObservational Study
In one paragraph

Observational study in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

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

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

5 authors.

Dejalin Rout *ICMR-Regional Medical Research Centre, Bhubaneswar, Bhubaneswar, 751023, Odisha, India.ORCID https://orcid.org/0000-0002-3576-0806
Abhinav Sinha *ICMR-Regional Medical Research Centre, Bhubaneswar, Bhubaneswar, 751023, Odisha, India.ORCID https://orcid.org/0000-0001-7702-3671
Subrata Kumar PaloICMR-Regional Medical Research Centre, Bhubaneswar, Bhubaneswar, 751023, Odisha, India.
Srikanta KanungoICMR-Regional Medical Research Centre, Bhubaneswar, Bhubaneswar, 751023, Odisha, India. srikantak109@gmail.com.ORCID https://orcid.org/0000-0001-5647-0122
Sanghamitra PatiICMR-Regional Medical Research Centre, Bhubaneswar, Bhubaneswar, 751023, Odisha, India. drsanghamitra12@gmail.com.ORCID https://orcid.org/0000-0002-7717-5592

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increase in the prevalence of hysterectomy among low-and middle-income countries (LMICs) such as India has become a significant concern. Reports based on either a particular group or region show an increasing trend in hysterectomy, but there is a dearth of national-level data in this domain. Hence, there seems to be an urgent need to garner evidence on the prevalence and determinants of hysterectomy, which could pave the way for future programs and policies. We aimed to estimate the prevalence of hysterectomy and assess its determinants using a nationally representative sample. An observational analysis was conducted using data from Longitudinal Aging Study in India (LASI), 2017-2018. 38,154 women aged > 18 years were included. A multivariable logistic regression, presented as an adjusted odds ratio (AOR) with a 95% confidence interval (CI), was used to predict the association between various socio-demographic characteristics and hysterectomy. A separate multivariable logistic regression model was executed to determine the association between selected non-communicable diseases (NCDs) and hysterectomy. Survey weights compensated the complex study design. The overall prevalence of hysterectomy was around 11.35%. Excessive menstrual bleeding followed by fibroids emerged as the leading causes of hysterectomy. The various determinants of hysterectomy were urban residents [AOR: 1.54 (1.21-1.96)], other backward class [AOR: 2.19 (1.72-2.78], working women [AOR: 1.19(1-1.42)] and the most affluent (rich) group [AOR: 2.06 (1.62-2.63)]. Hysterectomy was associated with cancer [AOR: 4.83 (2.51-9.29)], diabetes [AOR: 1.79 (1.25-2.57)], hypertension [AOR: 1.48 (1.27-1.71)] and joint diseases [AOR: 1.43 (1.09-1.88)]. Hysterectomy is considerably prevalent in India, which cannot be overlooked. Health promotion regarding hysterectomy and its implications is needed especially among urban residents, affluent groups and those with a higher body mass index. Health programmes aimed at women should follow a life course approach by prioritizing health and overall well-being even after reproductive years.

Indexed as

AgingHysterectomyAdultBody Mass IndexFemaleHumansIndiaPrevalence

Identifiers

PMID37666936
PMCPMC10477345

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Registered trials

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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.