Evidence map›Paper›PMID 42221796›Full record

ArticleGynecologic oncology reports2026

Nurse-led visual triage against histopathology in a real-world low-resource setting cervical cancer prevention program.

Simon M Manga, Ivree Randolph, Lynda Ugwu, Grace Lee, Kathleen L Nulah, Florence Manjuh, Comfort Ketu, Rebecca C Arend

Abstract read
In one paragraph

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

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Simon M MangaDivision of Global and Rural Health, Department of Obstetrics and Gynecology, University of Alabama at Birmingham, Birmingham, USA.
Ivree RandolphCenter for Research in Women's Health, Department of Obstetrics and Gynecology, University of Alabama at Birmingham, Birmingham, USA.
Lynda UgwuCenter for Research in Women's Health, Department of Obstetrics and Gynecology, University of Alabama at Birmingham, Birmingham, USA.
Grace LeeCenter for Research in Women's Health, Department of Obstetrics and Gynecology, University of Alabama at Birmingham, Birmingham, USA.
Kathleen L NulahWomen's Health Program, Cameroon Baptist Convention Health Services, Bamenda, Cameroon.
Florence ManjuhWomen's Health Program, Cameroon Baptist Convention Health Services, Bamenda, Cameroon.
Comfort KetuWomen's Health Program, Cameroon Baptist Convention Health Services, Bamenda, Cameroon.
Rebecca C ArendDivision of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Alabama at Birmingham, O'Neal Comprehensive Cancer Center, Birmingham, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The objective of this study was to assess the histopathological reports from excision treatment and biopsy to identify the proportion of CIN2 + among a cohort of women who had abnormal cervical cancer visual screening reports in Cameroon and to identify potential risk factors for CIN2 + . Methods: This was a cross-sectional study using secondary data from women with abnormal cervical cancer visual screening who provided tissue through excision treatment/biopsy between 2007-2023 in Cameroon. The program nurses provided a presumptive pathologic diagnosis which was compared with the final pathologic diagnosis. We described baseline characteristics by estimating means, standard deviations (SD), counts, and percentages for continuous and categorical variables, as appropriate. T-tests and chi square tests were used to compare continuous and categorical variables, respectively, between women with CIN2 + and women without CIN2 + . Results: Of the 1,294 women with abnormal visual results, 930 (71.9%) had CIN2 + while 364 (28.1%) had no CIN2 + . Of the 724 women with lesions suspicious for Invasive Cervical Cancer (ICC), 545 (75.3%) had ICC while 53 (7.3%) had CIN3. Of the 227 women who had excision treatment, 70 (30.8%) had CIN3, followed by 53 (23.4%) with CIN2. Though the agreement between nurses' presumptive pathological diagnosis and final pathological diagnosis was fair (0.356), there was a lower level of agreement for CIN2(kappa = 0.180). Conclusion: The proportion of CIN2 + among these women with abnormal visual results was over 70%. Age, HIV status, and visual screening results were strong clinical predictors for CIN2 + . Nurse-led triage showed good reliability in identifying ICC but poor for CIN2.

Indexed as

CameroonCervical cancerCervical intraepithelial neoplasm grade 2 or worse/CIN2+DiagnosisVisual inspection with acetic acidWomen

Identifiers

PMID42221796
PMCPMC13217501

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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.