Evidence map›Paper›PMID 24083011›Full record

ArticleIranian Red Crescent medical journal2013

Study of the avoidable mortality in iran: kerman province.

Mohammadreza Amiresmaili, Narges Khanjani, Mahmood Nekoei Moghadam, Parvaneh Isfahani

Abstract read
In one paragraph

Article in Iranian Red Crescent medical journal, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Contributions of avoidable mortality to the sex gap in life expectancy and life disparity in Iran.Archives of public health = Archives belges de sante publique · 2023
    Article
  2. Pancreatic Cancer in Iran - Result of the Iranian National Cancer Registry Program.Asian Pacific journal of cancer prevention : APJCP · 2022
    Article
  3. Pancreatic Cancer in Iran: an Epidemiological Review.Journal of gastrointestinal cancer · 2020
    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

4 authors.

Mohammadreza AmiresmailiResearch Center for Medical Informatics, Institute for Future Studies in Health, Kerman University of Medical Sciences, Kerman, IR Iran.
Narges Khanjani
Mahmood Nekoei Moghadam
Parvaneh Isfahani

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecognizing mortality pattern and observing its trend will help us in determining health priorities, allocating health resources and priorities in health section, eliminating main factors of premature deaths and carrying out epidemiological research.

objectiveThe aim of this research was to determine avoidable mortality in Kerman province. MATERIALS AND

methodsThe present study was carried out longitudinal. A checklist was applied for data collection. Avoidable mortalities were examined in Kerman province between 2004 and 2010. Statistical universe of this research was all deaths registered in statistical unit of health deputy of Kerman University of Medical Sciences; they were all studied through a census method. Data analysis was carried out using descriptive and analytical test by SPSS18.0.

resultsTwo thousand and one hundred -ninety seven deaths were examined. Of them, 210 deaths were unavoidable and 19987 were avoidable. In this study, most unavoidable deaths were due to pancreases cancer and ovary cancer.

conclusionsRelative high number of avoidable deaths indicates that performance of health system was not desirable in Kerman during the studied years. Examining trend of avoidable deaths showed that these mortalities are increasing although it is not significant nowadays. However, if this trend continues, it will be very alarming for health care authorities in this region.

Indexed as

IranMortality, Hospitals

Identifiers

PMID24083011
PMCPMC3785912

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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.