Evidence map›Paper›PMID 30345565›Full record

SynthesisInternational journal of urology : official journal of the Japanese Urological Association2019

Estimate of the incidence of bladder cancer in Africa: A systematic review and Bayesian meta-analysis.

Davies Adeloye, Michael O Harhay, Olayemi O Ayepola, Jhonathan Pr Dos Santos, Rotimi A David, Olubanke O Ogunlana, Muktar Gadanya, Victor C Osamor, Ann O Amuta, Emeka E Iweala and 2 more

Abstract readSystematic ReviewNetwork Meta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in International journal of urology : official journal of the Japanese Urological Association, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–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

15 citing papers in PubMed.

  1. Article
  2. Review
  3. Observational
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Observational
  14. Review
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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.

Davies AdeloyeCentre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh, UK.
Michael O HarhayDepartment of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Olayemi O AyepolaDepartment of Biological Sciences, Covenant University, Ota, Nigeria.
Jhonathan Pr Dos SantosDepartment of Genetics, University of São Paulo, São Paulo, Brazil.
Rotimi A DavidDepartment of Urology, Morriston Hospital, Abertawe Bro Morgannwg University Health Board, Swansea, UK.
Olubanke O OgunlanaDepartment of Biochemistry, Covenant University, Ota, Nigeria.
Muktar GadanyaDepartment of Community Medicine, Aminu Kano Teaching Hospital, Bayero University, Kano, Nigeria.
Victor C OsamorComputer and Information Sciences, Covenant University, Ota, Nigeria.
Ann O AmutaDepartment of Health Studies, Texas Woman's University, Denton, Texas, USA.
Emeka E IwealaComputer and Information Sciences, Covenant University, Ota, Nigeria.
Asa AutaSchool of Pharmacy and Biomedical Sciences, University of Central Lancashire, Preston, UK.
Timothy R RebbeckDana Farber Cancer Institute and Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.

Funding

Improving the measurement and analysis of long-term, patient-centered outcomes following acute respiratory failureK99HL141678 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI HARHAY, MICHAEL OSCAR · 2018 to 2019
$214k
NHLBI NIH HHS K99 HL141678
6 · The paper itself

Abstract

objectivesTo quantify the epidemiology of bladder cancer in Africa to guide a targeted public health response and support research initiatives.

methodsWe systematically searched publicly available sources for population-based registry studies reporting the incidence of bladder cancer in Africa between January 1980 and June 2017. Crude incidence rates of bladder cancer were extracted. A Bayesian network meta-analysis model was used to estimate incidence rates.

resultsThe search returned 1328 studies. A total of 22 studies carried out across 15 African countries met our pre-defined selection criteria. Heterogeneity across studies was high (I

conclusionsThe present study suggests a growing incidence of bladder cancer in Africa in recent years, particularly among men and in North Africa. This study also highlights the lack of quality data sources and collection of essential clinical and epidemiological data in several African countries, and this hinders public health planning.

Indexed as

AfricaBayes TheoremFemaleHumansIncidenceMaleSex DistributionUrinary Bladder NeoplasmsAfricabladder cancerSchistosoma haematobiumsquamous cell carcinomatransitional cell carcinoma

Identifiers

PMID30345565
PMCPMC6409482

What OpenQuestion holds

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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.