Evidence map›Paper›PMID 29699370›Full record

ArticleAsian Pacific journal of cancer prevention : APJCP2018

Exploring Spatial Patterns of Colorectal Cancer in Tehran City, Iran

Kamyar Mansori, Alireza Mosavi-Jarrahi, Ali Ganbary Motlagh, Masoud Solaymani-Dodaran, Masoud Salehi, Alireza Delavari, Ali Sanjari Moghaddam, Mohsen Asadi-Lari

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Article in Asian Pacific journal of cancer prevention : APJCP, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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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

8 authors.

Kamyar MansoriDepartment of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran. Email: mohsen.asadi@yahoo.com
Alireza Mosavi-Jarrahi
Ali Ganbary Motlagh
Masoud Solaymani-Dodaran
Masoud Salehi
Alireza Delavari
Ali Sanjari Moghaddam
Mohsen Asadi-Lari

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Colorectal cancer (CRC) may now be the second most common cancer in the world. The aim of this study was to determine whether clusters of high and low risk of CRC might exist at the neighborhood level in Tehran city. Methods: In this study, new cases of CRC provided from Cancer Registry Data of the Management Center of Ministry of Health and Medical Education of Iran in the period from March 2008 to March 2011 were analyzed. Raw standardized incidence rates (SIRs) were calculated for CRC in each neighborhood, along with ratios of observed to expected cases. The York and Mollie (BYM) spatial model was used for smoothing of the estimated raw SIRs. To discover clusters of high and low CRC incidence a purely spatial scan statistic was applied. Results: A total of 2,815 new cases of CRC were identified and after removal of duplicate cases, 2,491 were geocoded to neighborhoods. The locations with higher than expected incidence of CRC were northern and central districts of Tehran city. An observed to expected ratio of 2.57 (p<0.001) was found for districts of 2, 6 and 11, whereas, the lowest ratio of 0.23 (p<0.001) was apparent for northeast and south areas of the city, including district 4. Conclusions: This study showed that there is a significant spatial variation in patterns of incidence of CRC at the neighborhood level in Tehran city. Identification of such spatial patterns and assessment of underlying risk factors can provide valuable information for policymakers responsible for equitable distribution of healthcare resources.

Indexed as

Colorectal NeoplasmsHumansIncidenceIranMiddle AgedRegistriesResidence CharacteristicsRetrospective StudiesRisk FactorsSpatial AnalysisColorectal cancerneighborhoodspatial analysisTehranYork and Mollie (BYM) spatial model

Identifiers

PMID29699370
PMCPMC6031791

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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.