Evidence map›Paper›PMID 35948394›Full record

ArticleMedical humanities2023

Race, class, caste, disability, sterilisation and hysterectomy.

Alison M Downham Moore

Abstract read
In one paragraph

Article in Medical humanities, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

1 author.

Alison M Downham MooreSchool of Humanities and Communication Arts, Western Sydney University, Penrith South, New South Wales, Australia alison.moore@westernsydney.edu.au.ORCID http://orcid.org/0000-0002-9642-1437

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This interdisciplinary historical paper focuses on the past and current state of diverse forms of surgical hysterectomy as a global phenomenon relating to population control and sterilisation. It is a paper grounded in historical inquiry but is unconventional relative to the norms of historical scholarship both in its wide geographical scope informed by the methodologies of global and intercultural history, in its critique of current clinical practices informed by recent feminist, race, biopolitical and disability studies, and by its engagement with scholarship in health sociology and medical anthropology which has focused on questions of gender and healthcare inequalities. The first part of the paper surveys existing medical, social-scientific and humanistic research on the racial, class, disability and caste inequalities which have emerged in the recent global proliferation of hysterectomy; the second part of the paper is about the diverse global rationales underlying radical gynaecological surgeries as a form of sterilisation throughout the long twentieth century. Radical gynaecological surgeries have been promoted for several different purposes throughout their history and, of course, are sometimes therapeutically necessary. However, they have often disproportionately impacted the most disadvantaged groups in several different global societies and have frequently been concentrated in populations that are already maligned on the basis of race, ethnicity, age, criminality, disability, gender deviation, lower class, caste or poverty. This heritage continues to inform current practices and contributes to ongoing global inequalities of healthcare.

Indexed as

FeminismSocial ClassFemaleHumanismHumansHysterectomySterilizationcross-cultural studiesGender studiesHistoryMedical humanitiesreproductive medicine

Identifiers

PMID35948394
PMCPMC9985708

What OpenQuestion holds

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LicenceCC BY-NC
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.