Evidence map›Paper›PMID 42818939›Full record

ArticleResearch square2026

Cervical cancer screening among US women with pelvic organ prolapse.

Carla L Da Goia Pinto, Laura Crespo-Albiac, Tara Master Hunter, Paul Lin, Madeline Moureau, Neil Kamdar, Courtney Streur, Diane M Harper

Abstract readPreprint
In one paragraph

Article in Research square, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Carla L Da Goia PintoUniversity of Illinois Chicago.
Laura Crespo-AlbiacUniversity of Michigan.
Tara Master HunterUniversity of Michigan.
Paul LinUniversity of Michigan.
Madeline MoureauUniversity of Michigan.
Neil KamdarUniversity of Michigan.
Courtney StreurUniversity of Michigan.
Diane M HarperUniversity of Michigan.

Funding

XenograftP30CA046592 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Alexey I Nesvizhskii · 1988 to 2026
$178.2M
NCI NIH HHS P30 CA046592
6 · The paper itself

Abstract

Introduction: Cervical cancer occurs in women with pelvic organ prolapse (POP), but the prevalence of cervical cancer screening (CCS) in this population is unknown. We hypothesize that age, race, ethnicity, and college attendance will impact CCS for women with POP. Methods: In this cross-sectional study, we extracted CCS laboratory codes from an electronic healthcare database, Truveta, between 2017 and 2022 for women aged 21-65 who were without a hysterectomy or prior gynecologic cancer. We extracted POP data based on medical codes. Results: Among 2,265,395 eligible women, we found a 4.4/1000 prevalence of POP among women aged 21-65 years who were eligible for CCS. Women with POP are significantly older (50-65 years old: 63.8% vs 35.2%, p<0.001), White (84.5% vs 73.6%, p<0.001), and have less college education (43.2% vs 59.9%, p<0.001) than women without POP. CCS among women with POP was greater than in women without POP (72.6% vs 70.8%, p<0.001). In analyses adjusted for age, race, ethnicity, and college education, they were 56% more likely to have CCS (aOR=1.56 (95% CI: 1.44, 1.77), p<0.001) than women without POP. In addition, Asian, Black, Hispanic, and White women with POP had greater adjusted odds of CCS than their respective groups without POP. Conclusion: Women with POP have greater CCS rates than those without. CCS rates for women with POP who are 50 and older, the age group at highest risk for cervical cancer, are still below the Healthy People 2030 (HP2030) goals for cervical cancer screening.

Identifiers

PMID42818939
PMCPMC13622842

What OpenQuestion holds

Textmetadata
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.