Evidence map›Paper›PMID 40120033›Full record

ArticleTheoretical medicine and bioethics2025

Defining 'Abortion': a call for clarity.

Nicholas Colgrove

Abstract read
In one paragraph

Article in Theoretical medicine and bioethics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Nicholas ColgroveAugusta University, 2500 Walton Way, Augusta, GA, 30904, USA. NColgrove@augusta.edu.ORCID 0000-0003-0506-353X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In Dobbs v. Jackson, the Supreme Court found that 'the Constitution does not confer a right to abortion.' Rather, individual states must determine whether a right to abortion exists. Following Dobbs, state abortion laws have diverged significantly. This has generated confusion over what the law permits. Consequently, some pregnant women reportedly have not received timely treatment for life-threatening conditions. Clear guidance on abortion policy is essential, therefore, since continued confusion risks lives. Sweeping calls to improve patient access to abortion will not provide clear guidance, however, since 'abortion' is defined differently across jurisdictions. In fact, there are six variables to consider when defining 'abortion': (1) the definition of 'pregnancy,' (2) whether prescribing abortifacients counts as an abortion, (3) whether abortion successfully terminates pregnancy, (4) whether abortion has some characteristic intention, (5) whether providers must know that they likely will harm fetuses, and (6) whether providers must know that their patients are pregnant. States address each variable differently, so 'abortion' means different things across jurisdictions. One may respond that legislators are solely to blame for confusion here, since medical experts, by contrast, possesses a clear definition of 'abortion.' Not so. 'Abortion' is defined inconsistently throughout the medical literature too. As such, both legal and medical domains would benefit from careful discussions of 'abortion.' Attending to the six variables identified here is a good starting place. In this essay, I suggest how best to think about each and propose a definition of 'abortion' well-suited for developing clear abortion policy in a polarized society.

Indexed as

Abortion, InducedAbortion, LegalTerminology as TopicFemaleHealth Services AccessibilityHumansPregnancyUnited StatesAbortionEctopic pregnancyPregnancyStatutory lawWomen’s rights

Identifiers

PMID40120033
PMCPMC11953220

What OpenQuestion holds

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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.