Evidence map›Paper›PMID 32677969›Full record

ArticleDiagnostic pathology2020

Ovarian cancer: diagnostic accuracy and tumor types distribution in East Africa compared to North America.

Peter F Rambau, Martin Köbel, Derek Tilley, Alex Mremi, Robert Lukande, William Muller

Abstract readComparative Study
In one paragraph

Article in Diagnostic pathology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

6 authors.

Peter F RambauDepartment of Pathology, Catholic University of Health and Allied Sciences (CUHAS), Box 1464, Mwanza, Tanzania. ra1972tz@yahoo.com.ORCID http://orcid.org/0000-0001-5875-6343
Martin KöbelDepartment of Pathology and Laboratory Medicine, Foothill Medical Center, University of Calgary, 1403 - 29 Street NW, Calgary, AB, Canada.
Derek TilleyHoly Cross Cancer Center, 2210 2nd St. SW, Calgary, AB, Canada.
Alex MremiDepartment of Pathology, Kilimanjaro Christian Medical Center, Box 3010, Moshi, Tanzania.
Robert LukandeDepartment of Pathology, College of Health Sciences Makerere University, Box. 7072, Kampala, Uganda.
William MullerDepartment of Pathology, Mbeya Referral Hospital, Box 419, Mbeya, Tanzania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOvarian cancer is a spectrum of several histologically distinct tumor types that differ in etiology, response to therapy, and prognosis. In resource-limited settings, the diagnosis of ovarian cancer can be challenging. This study describes the distribution of ovarian cancer tumor types in East Africa as well as assessing the diagnostic accuracy by using contemporary methods.

methodsData from 210 women identified from the records with a diagnosis of ovarian cancer in a period of 15 years were included. Two tissue microarrays were constructed and stained with 20 antibodies relevant to ovarian cancer subtyping. An integrated diagnosis was reached by the review of full Haematoxylin and Eosin stained sections, with consideration of immunohistochemical results. The integrated diagnoses were compared with the original diagnoses, and the degree of agreement was evaluated by percentage and Kappa statistics.

resultsThough limited by selection bias, the results suggest lower rates of ovarian cancer in East Africa compared to a North American population from Alberta, Canada. There was a higher proportion of sex cord stromal tumors and germ cell tumors in the East African population. Diagnostic accuracy for main ovarian tumor type categories was substantial (Kappa 0.70), but only fair for specific ovarian carcinoma histotypes (Kappa 0.34). Poor Haematoxylin and Eosin stain was the main factor hindering the correct diagnosis, which was not related to tissue processing.

conclusionsIn a resource-limited setting, where immunohistochemistry is not routinely carried out, diagnostic accuracy for the main categories of ovarian carcinoma is substantial and could be further improved by standardization of the basic Haematoxylin and Eosin stain.

Indexed as

AdolescentAdultAfrica, EasternAgedAged, 80 and overAlbertaChildDeveloping CountriesFemaleHumansIncidenceMiddle AgedOvarian NeoplasmsRetrospective StudiesStaining and LabelingYoung AdultDiagnostic accuracyHistotypesImmunohistochemistryOvarian cancer

Identifiers

PMID32677969
PMCPMC7364467

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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.