Evidence map›Paper›PMID 28255430›Full record

ArticleWorld journal of gastrointestinal oncology2017

Bayesian adjustment for over-estimation and under-estimation of gastric cancer incidence across Iranian provinces.

Nastaran Hajizadeh, Mohamad Amin Pourhoseingholi, Ahmad Reza Baghestani, Alireza Abadi, Mohammad Reza Zali

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Article in World journal of gastrointestinal oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Nastaran HajizadehNastaran Hajizadeh, Ahmad Reza Baghestani, Alireza Abadi, Department of Biostatistics, Shahid Beheshti University of Medical Sciences, Tehran 1971653313, Iran.
Mohamad Amin PourhoseingholiNastaran Hajizadeh, Ahmad Reza Baghestani, Alireza Abadi, Department of Biostatistics, Shahid Beheshti University of Medical Sciences, Tehran 1971653313, Iran.
Ahmad Reza BaghestaniNastaran Hajizadeh, Ahmad Reza Baghestani, Alireza Abadi, Department of Biostatistics, Shahid Beheshti University of Medical Sciences, Tehran 1971653313, Iran.
Alireza AbadiNastaran Hajizadeh, Ahmad Reza Baghestani, Alireza Abadi, Department of Biostatistics, Shahid Beheshti University of Medical Sciences, Tehran 1971653313, Iran.
Mohammad Reza ZaliNastaran Hajizadeh, Ahmad Reza Baghestani, Alireza Abadi, Department of Biostatistics, Shahid Beheshti University of Medical Sciences, Tehran 1971653313, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo correct the misclassification in registered gastric cancer incidence across Iranian provinces in cancer registry data.

methodsGastric cancer data is extracted from Iranian annual of national cancer registration report 2008. A Bayesian method with beta prior is implemented to estimate the rate of misclassification in registering patient's permanent residence in neighboring province. Each time two neighboring provinces with lower and higher than 100% expected coverage of cancer cases are selected to be entered in the model. The expected coverage of cancerous patient is reported by medical university of each province. It is assumed that some cancer cases from a province with a lower than 100% expected coverage are registered in their neighboring province with more than 100% expected coverage.

resultsThe condition was true for 21 provinces from a total of 30 provinces of Iran. It was estimated that 43% of gastric cancer cases of North and South Khorasan provinces in north-east of Iran was registered in Razavi Khorasan as the neighboring facilitate province; also 72% misclassification was estimated between Sistan and balochestan province and Razavi Khorasan. The misclassification rate was estimated to be 36% between West Azerbaijan province and East Azerbaijan province, 21% between Ardebil province and East Azerbaijan, 63% between Hormozgan province and Fars province, 8% between Chaharmahal and bakhtyari province and Isfahan province, 8% between Kogiloye and boyerahmad province and Isfahan, 43% Golestan province and Mazandaran province, 54% between Bushehr province and Khozestan province, 26% between Ilam province and Khuzestan province, 32% between Qazvin province and Tehran province (capital of Iran), 43% between Markazi province and Tehran, and 37% between Qom province and Tehran.

conclusionPolicy makers should consider the regional misclassification in the time of programming for cancer control, prevention and resource allocation.

Indexed as

Bayesian correctionCancer incidence registryGastric cancerIranMisclassification

Identifiers

PMID28255430
PMCPMC5314205

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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.