Evidence map›Paper›PMID 38990185›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2024

Cervical Cancer Screening Utilization among Kidney Transplant Recipients, 2001 to 2018.

Christine D Hsu, Xiaoying Yu, Fangjian Guo, Victor Adekanmbi, Yong-Fang Kuo, Jordan Westra, Abbey B Berenson

Abstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 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. Review
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Christine D HsuCenter for Interdisciplinary Research in Women's Health, School of Medicine, University of Texas Medical Branch at Galveston, Galveston, Texas.ORCID 0000-0002-8200-5133
Xiaoying YuCenter for Interdisciplinary Research in Women's Health, School of Medicine, University of Texas Medical Branch at Galveston, Galveston, Texas.ORCID 0000-0003-1659-2365
Fangjian GuoCenter for Interdisciplinary Research in Women's Health, School of Medicine, University of Texas Medical Branch at Galveston, Galveston, Texas.ORCID 0000-0003-3729-2724
Victor AdekanmbiCenter for Interdisciplinary Research in Women's Health, School of Medicine, University of Texas Medical Branch at Galveston, Galveston, Texas.ORCID 0000-0002-7394-1640
Yong-Fang KuoDepartment of Biostatistics and Data Science, University of Texas Medical Branch at Galveston, Galveston, Texas.ORCID 0000-0003-1927-0927
Jordan WestraDepartment of Biostatistics and Data Science, University of Texas Medical Branch at Galveston, Galveston, Texas.ORCID 0000-0002-1473-1766
Abbey B BerensonCenter for Interdisciplinary Research in Women's Health, School of Medicine, University of Texas Medical Branch at Galveston, Galveston, Texas.ORCID 0000-0002-5007-1080

Funding

UTMB Women's Health Research Scholars ProgramK12AR084228 · NIAMS · UNIVERSITY OF TEXAS MED BR GALVESTON · PI ABBEY B BERENSON · 2023 to 2026
$2.7M
Genetic testing in young women for cancer preventionK07CA222343 · NCI · UNIVERSITY OF TEXAS MED BR GALVESTON · PI GUO, FANGJIAN · 2018 to 2022
$632k
Cancer Prevention and Research Institute of Texas (CPRIT) PP200048Cancer Prevention and Research Institute of Texas (CPRIT) RP210130National Cancer Institute (NCI) K07CA222343National Institute of Allergy and Infectious Diseases (NIAID) K12AR084228National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS) K12AR084228-20S1NCI NIH HHS K07 CA222343NIAMS NIH HHS K12 AR084228
6 · The paper itself

Abstract

backgroundKidney transplant recipients (KTR) have elevated risks of cervical precancers and cancers and guidelines recommend more frequent cervical cancer screening exams. However, little is known about current trends in cervical cancer screening in this unique population. We described patterns in the uptake of cervical cancer screening exams among female KTRs and identified factors associated with screening utilization.

methodsThis retrospective cohort study included female KTRs between 20 and 65 years old, with Texas Medicare fee-for-service coverage, who received a transplant between January 1, 2001, and December 31, 2017. We determined the cumulative incidence of receiving cervical cancer screening post-transplant using ICD-9, ICD-10, and CPT codes and assessed factors associated with screening utilization, using the Fine and Gray model to account for competing events. Subdistribution hazard models were used to assess factors associated with screening uptake.

resultsAmong 2,653 KTRs meeting the inclusion and exclusion criteria, the 1-, 2-, and 3-year cumulative incidences of initiating a cervical cancer screening exam post-transplant were 31.7% [95% confidence interval (CI), 30.0%-33.6%], 48.0% (95% CI, 46.2%-49.9%), and 58.5% (95% CI, 56.7%-60.3%), respectively. KTRs who were 55 to 64 years old (vs. <45 years old) and those with a higher Charlson Comorbidity Score post-transplant were less likely to receive cervical cancer screening post-transplant.

conclusionsCervical cancer screening uptake is low in the years immediately following a kidney transplant. IMPACT: Our findings highlight a need for interventions to improve cervical cancer screening utilization among kidney transplant recipients. See related In the Spotlight, p. 1554.

Indexed as

Early Detection of CancerKidney TransplantationUterine Cervical NeoplasmsAdultAgedFemaleHumansMiddle AgedRetrospective StudiesTexasTransplant RecipientsUnited StatesYoung Adult

Identifiers

PMID38990185
PMCPMC11611682

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.