Evidence map›Paper›PMID 28469316›Full record

ArticleJournal of cytology

Cervical cytopathological changes among women with vaginal discharge attending teaching hospital.

Magdi M Salih, Fatma Tage El Sir AlHag, Mohammed Ahmed Khalifa, Abdulla H El Nabi

Open access · diamondAbstract read
In one paragraph

Article in Journal of cytology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 13 citations in OpenAlex.

  1. Observational
  2. Article
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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

4 authors at 2 institutions in 1 country.

Magdi M SalihDepartment of Cytopathology, University of Khartoum, Khartoum, Sudan.
Fatma Tage El Sir AlHagBiomedical Scientist, National Health Services, Red Sea State, Sudan.
Mohammed Ahmed KhalifaConsultant Gynecologist, Port Sudan Teaching Hospital, Port Sudan, Sudan.
Abdulla H El NabiDepartment of Cytopathology, University of Khartoum, Khartoum, Sudan.
University of Khartoum · SDRed Sea University · SD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTo find cytology changes among women attending obstetrics and gynaecology clinic with complaints of vaginal discharges. SETTINGS AND

designThis descriptive hospital-based cytological study was conducted at the outpatient clinic of the obstetrics and gynaecology department. MATERIALS AND

methodsTwo hundred women with complaints of vaginal discharge were selected. Their detailed histories were documented on a special request form. Pap smears were then obtained and sent for cytological examination to the cytopathology department. All low-grade squamous intraepithelial lesion (LSIL) cases were advised to follow-up with Pap smears in the next 6-12 months. Those with high-grade squamous intraepithelial lesion (HSIL) were further investigated by a cervical biopsy and managed accordingly. STATISTICAL ANALYSIS USED: The statistical analysis was performed using, the Statistical Package for Social Science (SPSS). Chi-square and cross-tabulation were used in this study.

resultsThe cytological examination of Pap smears showed no changes (i.e. negative findings) in 88 (44%) cases, while

conclusionInfection is common among the illiterate group of women. Women with vaginal discharges should undergo screening tests for evaluation by cervical smear for the early detection of cervical precancer conditions. There is an urgent need to establish a screening program for cervical cancer in Sudan.

Indexed as

CytologySudanvaginal discharge

Identifiers

PMID28469316
PMCPMC5398026
OpenAlexW2599351626

What OpenQuestion holds

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LicenceCC BY-NC-SA
Read underepoch 390

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.