Evidence map›Paper›PMID 38844202›Full record

ArticleContraception2024

Incidence of induced abortion among commercially insured pregnant patients with cancer.

Jonas J Swartz, Yongmei Huang, Jenny Wu, Haley Moss, Dawn L Hershman, Jason D Wright

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Contraception, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Observational
  2. Review
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

6 authors.

Jonas J SwartzDepartment of Obstetrics and Gynecology, Duke University, Durham, NC, USA. Electronic address: Jonas.swartz@duke.edu.
Yongmei HuangDepartment of Obstetrics and Gynecology, Columbia University College of Physicians and Surgeons, New York, NY, USA.
Jenny WuDepartment of Obstetrics and Gynecology, Duke University, Durham, NC, USA.
Haley MossDepartment of Obstetrics and Gynecology, Duke University, Durham, NC, USA.
Dawn L HershmanDepartment of Medicine, Columbia University College of Physicians and Surgeons, New York, NY, USA.
Jason D WrightDepartment of Obstetrics and Gynecology, Columbia University College of Physicians and Surgeons, New York, NY, USA.

Funding

Duke Women's Reproductive Health Research ScholarsK12HD103083 · NICHD · DUKE UNIVERSITY · PI Cindy Amundsen · 2020 to 2026
$2.2M
NICHD NIH HHS K12 HD103083
6 · The paper itself

Abstract

objectivesThis study aimed to characterize pregnancy outcomes and the incidence of induced abortion among pregnant people with a diagnosis of malignancy. STUDY

designWe conducted a retrospective cohort study among privately insured people aged 12 to 55 years from the fourth quarter of 2015-2020 using US claims data from Merative MarketScan Research Databases. We included pregnancies from seven states with favorable policies for private insurance coverage of abortion.

resultsThere were 1471 of 183,685 (0.8%) pregnancies with a cancer diagnosis. Among those receiving anticancer therapy, 21.6% (95% CI: 14.4-30.4%) underwent induced abortion compared with 10.9% (95% CI: 10.8-11.1%) of pregnant patients without a cancer diagnosis.

conclusionsAbortion restrictions may affect many pregnant women requiring cancer treatment in early pregnancy.

Indexed as

Abortion, InducedInsurance, HealthAdolescentAdultChildFemaleHumansIncidenceInsurance CoverageMiddle AgedNeoplasmsPregnancyPregnancy Complications, NeoplasticPregnancy OutcomeRetrospective StudiesUnited StatesAbortionAbortion accessAbortion restrictionsCancer in pregnancyHigh-risk pregnancyMalignancy in pregnancy

Identifiers

PMID38844202
PMCPMC11365771

What OpenQuestion holds

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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.