Evidence map›Paper›PMID 25729547›Full record

ArticleIranian journal of basic medical sciences2014

Changing pattern of epithelial cell abnormalities using revised Bethesda system.

Shagufta T Mufti, Fadwa J Altaf

Abstract read
In one paragraph

Article in Iranian journal of basic medical sciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 35% of its field
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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. 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

2 authors at 1 institution in 1 country.

Shagufta T MuftiDepartments of Anatomic Pathology, Faculty of Medicine, King Abdulaziz University Jeddah, Saudi Arabia.
Fadwa J AltafDepartments of Anatomic Pathology, Faculty of Medicine, King Abdulaziz University Jeddah, Saudi Arabia.
King Abdulaziz University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesIn developing countries and worldwide cervical cancer is an important cause of female mortality. Reports describing the frequency and pattern of abnormal Pap smears in Saudi Arabia, using the revised Bethesda system (RBS) are very few. The current study was conducted to explore the changing pattern of epithelial cell abnormalities (ECA) detected in Pap smears (PS) in females of the Western region of Saudi Arabia at King Abdulaziz University Hospital, Jeddah using the RBS. MATERIALS AND

methodsA retrospective study was designed to review all the PSs from the archives of Cytopathology Department at King Abdulaziz University Hospital, starting from January 2000 to October 2012 using RBS. Cytological aspects of PSs were reviewed with age distribution.

resultsOf the 15805 PS, 84 (0.53%) unsatisfactory smears were excluded. There were 2295 cases (14.52%) with ECA. In the abnormal squamous cell category the distribution of lesions was as follows: Atypical squamous cells of indeterminate significance (ASC-US) were 7.1%; atypical squamous cells, cannot exclude high squamous intraepithelial lesion (ASC-H) were 1.08%; low grade squamous intraepithelial lesion (LSIL) including human papillomavirus was 2.2%, high grade squamous intraepithelial lesion (HSIL) was 0.8% and high grade squamous intraepithelial lesion with suspicious invasion was 0.06% smears. The mean age (MA) incidence was 39,43,45,46 and 45 years respectively.

conclusionThe percentage of abnormal PS is increasing (14.52%) over the last decade. This increase is evident by different studies conducted across Saudi Arabia. Under present circumstances the need for mass screening.

Indexed as

ASC-HASC-USPap screeningPap smearRevised Bethesda

Identifiers

PMID25729547
PMCPMC4340986
OpenAlexW1506855408

What OpenQuestion holds

Textmetadata
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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.