Evidence map›Paper›PMID 31423519›Full record

ArticleSaudi medical journal2019

The accuracy of endometrial sampling for the diagnosis of patterns of endometrial pathology in women presenting with abnormal uterine bleeding. More conservative therapeutic approaches.

Areej M Al Nemer, Methal I Al Bayat, Nourah H Al Qahtani

Open access · diamondAbstract read
In one paragraph

Article in Saudi medical journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

4 citing papers in PubMed, 14 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Areej M Al NemerPathology Department, Imam Abdulrahman Bin Faisal University, Dammam, Kingdom of Saudi Arabia. E-mail. alnemerareej@hotmail.com.
Methal I Al Bayat
Nourah H Al Qahtani
Imam Abdulrahman Bin Faisal University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesAbnormal uterine bleeding (AUB) is a leading cause of hysterectomies, the cause of which is usually diagnosed with preoperative endometrial sampling. We planned this study to assess the accuracy of diagnosing the histologic patterns of endometrium in the preoperative sample in reference to the final histologic diagnosis in hysterectomy.

methodsWe retrospectively reviewed medical charts between January 2011 and December 2015 at a tertiary hospital in Saudi Arabia and identified 43 cases of AUB with complete documentation. The histologic diagnoses were classified into normal and benign pathology group (N/B), or carcinoma and hyperplasia category (Ca/H). Measures of validity were used to compare endometrial sampling histological diagnoses to diagnoses following hysterectomy and Cohen's kappa to assess for agreement between the 2 modalities. Results: The median age of all patients was 49 years. Preoperative histologic examination showed 53.8% sensitivity, 90% specificity, 70% positive predictive values and 81.8% negative predictive values, 30.1%  false positive rates and 18.2% false negative rates. The agreement between preoperative and postoperative histologic diagnoses was moderate (79.1%, k=0.469). Conclusion: The accuracy of preoperative histologic examination was moderate. Our findings recommend cautious clinical decision making and limiting hysterectomy to women who do not respond to other therapeutic measures.

Indexed as

AdultAgedCarcinomaClinical Decision-MakingEndometrial HyperplasiaEndometrial NeoplasmsEndometritisEndometriumFalse Positive ReactionsFemaleHumansHysterectomyMenorrhagiaMetrorrhagiaMiddle AgedPolyps

Identifiers

PMID31423519
PMCPMC6718861
OpenAlexW2967069189

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Registered trials

None linked

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.