Evidence map›Paper›PMID 38053634›Full record

ArticleCytoJournal2023

Prevalence of abnormal pap smears in the western region of Saudi Arabia from 2010 to 2022.

Abdulbasit A Andijany, Daliah A Abdulhafeez, Rehab B Fadag, Abdullah M Al Harbi, Rasha A Alsahafi, Elham S Bin Abbas, Walaa A Felemban

Abstract read
In one paragraph

Article in CytoJournal, 2023. 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. Article
  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

7 authors.

Abdulbasit A AndijanyDepartment of Pathology, King Fahd Armed Forces Hospital, Jeddah, Saudi Arabia.
Daliah A AbdulhafeezDepartment of Pathology, King Fahd Armed Forces Hospital, Jeddah, Saudi Arabia.
Rehab B FadagDepartment of Pathology, King Fahd Armed Forces Hospital, Jeddah, Saudi Arabia.
Abdullah M Al HarbiDepartment of Pathology, King Fahd Armed Forces Hospital, Jeddah, Saudi Arabia.ORCID https://orcid.org/0000-0001-9442-2308
Rasha A AlsahafiDepartment of Pathology, King Fahd Armed Forces Hospital, Jeddah, Saudi Arabia.
Elham S Bin AbbasDepartment of Pathology, King Fahd Armed Forces Hospital, Jeddah, Saudi Arabia.
Walaa A FelembanDepartment of Pathology, King Fahd Armed Forces Hospital, Jeddah, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The objectives of the study were to assess the prevalence of abnormal Pap smears and their quality metrics in a tertiary health-care facility in the western region of Saudi Arabia and to share our data with other researchers in Saudi Arabia to potentially establish benchmark data based on a Saudi population. Material and Methods: A retrospective study was carried out by the Department of Pathology at King Fahd Armed Forces Hospital, Jeddah, Saudi Arabia, on Pap smear statistics for 14,376 Pap smears of both conventional and liquid-based cytology (LBC) between 2010 and 2022. Results: The prevalence of abnormal Pap smears of both conventional and LBC was 3.05% (438 Pap smears). The percentages of adenocarcinoma and squamous cell carcinoma were 0.08% and 0.02%, respectively, and the ratio of atypical squamous cells (ASCs) to squamous intraepithelial lesions (SILs) (ASC/SIL) was 2.61. Conclusion: The prevalence of abnormal Pap smears and the ASC/SIL ratio were consistent with the international benchmark data provided by the College of American Pathologists for each preparation type and within the range of the data provided by published studies, highlighting the need for greater focus on glandular abnormalities.

Indexed as

CytopathologyGynecologyPap smearsPrevalenceSaudi Arabia

Identifiers

PMID38053634
PMCPMC10695349

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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.