Evidence map›Paper›PMID 29308386›Full record

ArticleIranian journal of public health2017

Space-time Analysis of Breast Cancer and Its Late-stage Cases among Iranian Women.

Meysam Olfatifar, Manoochehr Karami, Seyed Mehdi Hosseini, Masoud Parvin, Abbas Moghimbeigi, Ahmad Kousha, Ali Motlagh, Mansoureh Abdolahi, Elham Partovipour

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Article in Iranian journal of public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

  1. Pooled it
  2. Observational
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

9 authors.

Meysam OlfatifarStudent Research Committee, Hamadan University of Medical Sciences, Hamadan, Iran.
Manoochehr KaramiDept. of Epidemiology, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.
Seyed Mehdi HosseiniDept. of Epidemiology, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.
Masoud ParvinStudent Research Committee, Hamadan University of Medical Sciences, Hamadan, Iran.
Abbas MoghimbeigiDept. of Epidemiology, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.
Ahmad KoushaCenter for Noncommunicable Disease Control and Prevention, Deputy of Health, Ministry of Health and Medical Education, Tehran, Iran.
Ali MotlaghCancer Office, Non-Communicable Diseases, Deputy of Health, Ministry of Health and Medical Education, Tehran, Iran.
Mansoureh AbdolahiCancer Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Elham PartovipourCancer Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSpatial scan statistic has been shown as a useful tool to investigate spatial patterns and detecting the spatial clusters of cancer. This study conducted to study spatial analysis of breast cancer and its late-stage cases, one of the most common women cancers in Iran and the world.

methodsWe used space-time and purely spatial scan statistic implemented in SaTScan software to detect clusters of breast cancer and late-stage cases, at city level by applying Poisson and Bernoulli distribution. Data on 40017 of breast cancer cases that reported to the Ministry of Health and Medical Education (MOHME) during 2005 to 2010 were included.

resultsPurely spatial and spatiotemporal high rates significant clusters of breast cancer and its late-stage cases with Poisson distribution were in the same geographical area including southwest, north, and northeast.

conclusionSignificant clusters areas have probably differences with other areas in terms of delay in diagnosis and access to appropriate health services because late-stage breast cancer cases had the greatest impact on formation of clusters. However, more studies are essential to be conducted in different areas of country to explain more precisely clusters detected areas and detecting reasonable justification for existence of significant clusters.

Indexed as

Breast neoplasmClusteringEpidemiologyIranSpatial analysis

Identifiers

PMID29308386
PMCPMC5750354

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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.