Evidence map›Paper›PMID 38635603›Full record

ArticlePloS one2024

Histopathologic patterns and factors associated with cervical lesions at Jimma Medical Center, Jimma, Southwest Ethiopia: A two-year cross-sectional study.

Birhanu Hailu Tirkaso, Tesfaye Hurgesa Bayisa, Tewodros Wubshet Desta

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

3 authors.

Birhanu Hailu TirkasoDepartment of Biomedical Sciences, Mizan-Tepi University, Mizan, Southwestern Region, Ethiopia.ORCID 0000-0001-9189-8167
Tesfaye Hurgesa BayisaDepartment of Pathology, Jimma University, Jimma, Oromia, Ethiopia.
Tewodros Wubshet DestaDepartment of Pathology, Dire Dawa University, Dire Dawa, Ethiopia.ORCID 0000-0002-4142-5297

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe cervix is the lower portion of the uterus, which connects this organ to the vagina through the endocervical canal.

objectiveThis study aimed to determine the histopathologic patterns and factors associated with cervical lesions at Jimma Medical Center from September 12, 2017, to September 12, 2019.

methodsA 2-year facility-based cross-sectional study was conducted from May 1 to June 30, 2020.

resultIn this study, cervical cancer was the most common (71%) cause of cervical lesions. Squamous cell carcinoma was the most frequent cervical cancer diagnosed during the study, accounting for 96.4% of 331 cancerous cases, followed by adenocarcinoma (3.3%). High-grade squamous intraepithelial lesions were the most frequently diagnosed precancerous lesions, accounting for 68.4% of cases. Endocervical polyps were the most commonly diagnosed benign lesions, accounting for 59.3% of cases.

conclusionThe maximum age distribution of cervical lesions was in the 41-50-year age range. Squamous cell carcinoma was the most frequent type of cervical cancer. High-grade squamous intraepithelial lesions were the most frequently diagnosed precancerous cervical lesions. The most common benign cervical lesions were endocervical polyps. RECOMMENDATION: We recommend educating the community to improve health-seeking behavior and on possible preventive strategies for cervical cancer.

Indexed as

Carcinoma, Squamous CellPrecancerous ConditionsSquamous Intraepithelial LesionsUterine Cervical DysplasiaUterine Cervical NeoplasmsCross-Sectional StudiesEthiopiaFemaleHumans

Identifiers

PMID38635603
PMCPMC11034979

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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.