Evidence map›Paper›PMID 30294348›Full record

ArticleJournal of research in medical sciences : the official journal of Isfahan University of Medical Sciences2018

Cancer trends in a province of Southwest of Iran, 2003-2016.

Ali Ahmadi, Fatemeh Salehi, Zenab Ahmadimirghaed

Open access · goldAbstract read
In one paragraph

Article in Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 37% of its field
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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Trial
  2. Review
  3. Review
  4. Review
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

3 authors at 1 institution in 1 country.

Ali AhmadiModeling in Health Research Center, Shahrekord University of Medical Sciences, Shahrekord, Iran.
Fatemeh SalehiModeling in Health Research Center, Shahrekord University of Medical Sciences, Shahrekord, Iran.
Zenab AhmadimirghaedModeling in Health Research Center, Shahrekord University of Medical Sciences, Shahrekord, Iran.
Shahrekord University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAwareness of the trends of cancer incidence in each geographic region is an important. The aim of present study was to determine the incidence trends of cancer in Chaharmahal and Bakhtiari (Ch and B) province in Southwest of Iran. MATERIALS AND

methodsIn this secondary data analysis, retrospective existing data were used from cancer registry reports in Ch and B in Southwest of Iran in 2003-2016. Data on epidemiologic trend were analyzed using Joinpoint software package and annual percentage change (APC) with 95% confidence interval (95% CI) was computed.

resultsAge-standardized incidence rate per 100,000 persons in the province in 2003 was 31.74 that increased to 147.14 in 2016. APC during 2003-2016 was 12.58% (CI: 9.3-16) and significant, which was 10.22% (7.4-13.1) and 14.47% (10.2-18.9) in men and women, respectively. Incidence of the stomach, breast, colorectal, thyroid, lymph node, and ovarian cancers is increasing and the highest incidence was observed in two age groups of 25-34 and 55-64 years.

conclusionIn general, cancers are of increasing trend. Surveillance and monitoring the incidence of cancer and studying the causes of environmental or genetic in the cancer changes can help for cancer prevention and control.

Indexed as

CancerepidemiologyIranjoinpointneoplasmtrends

Identifiers

PMID30294348
PMCPMC6161484
OpenAlexW2894230118

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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Registered trials

None linked

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.