Evidence map›Paper›PMID 31737087›Full record

ArticleInfectious agents and cancer2019

Cervical cancer in Ethiopia - predictors of advanced stage and prolonged time to diagnosis.

Matthias Begoihn, Assefa Mathewos, Abreha Aynalem, Tigeneh Wondemagegnehu, Ulrike Moelle, Muluken Gizaw, Andreas Wienke, Christoph Thomssen, Dawit Worku, Adamu Addissie and 2 more

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Article in Infectious agents and cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 6 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

34 citing papers in PubMed, 6 syntheses or guidelines 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

12 authors.

Matthias Begoihn1Department of Gynecology, Martin-Luther-University, Halle (Saale), Germany.
Assefa Mathewos2Radiotherapy Center, School of Medicine, Addis Ababa University, Addis Ababa, Ethiopia.
Abreha Aynalem2Radiotherapy Center, School of Medicine, Addis Ababa University, Addis Ababa, Ethiopia.
Tigeneh Wondemagegnehu2Radiotherapy Center, School of Medicine, Addis Ababa University, Addis Ababa, Ethiopia.
Ulrike Moelle1Department of Gynecology, Martin-Luther-University, Halle (Saale), Germany.
Muluken Gizaw3Institute of Medical Epidemiology, Biostatistics and Informatics, Martin-Luther-University, Halle (Saale), Germany.
Andreas Wienke3Institute of Medical Epidemiology, Biostatistics and Informatics, Martin-Luther-University, Halle (Saale), Germany.
Christoph Thomssen1Department of Gynecology, Martin-Luther-University, Halle (Saale), Germany.
Dawit Worku5Department of Gynecology, School of Medicine Addis Ababa University, Addis Ababa, Ethiopia.
Adamu Addissie3Institute of Medical Epidemiology, Biostatistics and Informatics, Martin-Luther-University, Halle (Saale), Germany.
Ahmedin JemalDepartment of Intramural Research, American Cancer Society, Atlanta, Georgia.
Eva Johanna Kantelhardt1Department of Gynecology, Martin-Luther-University, Halle (Saale), Germany.ORCID 0000-0001-7935-719X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIn Ethiopia, most cervical cancer patients present at advanced cancer stages, long time after they experience first symptoms. We investigated possible predictors of long time spans between symptom onset and pathologic diagnosis (patient intervals). We also aimed to seek out predictors for advanced cancer stage diagnosis.

methodsWe conducted a retrospective cohort study among 1575 cervical cancer patients who were registered at Tikur Anbessa Specialized Hospital (TASH), Addis Ababa, Ethiopia between September 2008 and September 2012. Cox proportional hazards regression was used to find predictors of long patient intervals. Cumulative odds ordinal logistic regression was used to identify predictors of cancer stage at diagnosis.

resultsMedian patient interval was 30 weeks, with the interval substantially longer in patients residing in rural than urban areas. Longer patient intervals were associated with more advanced cancer stages at pathologic diagnosis. HIV-positive women had an almost 1.5 times increased risk of diagnosis at a more advanced stage.

conclusionCervical cancer patients are diagnosed after long time periods leading to advanced stages at diagnosis. Measures to raise awareness about cervical cancer, to increase screening and to shorten the time interval from recognition of symptoms to diagnosis are urgently needed.

Indexed as

Cervical cancerEthiopiaHIVPatient intervalSub-Saharan Africa

Identifiers

PMID31737087
PMCPMC6849163

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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.