Evidence map›Paper›PMID 27656510›Full record

ArticleJournal of clinical and diagnostic research : JCDR2016

Frequency of Maternal Mortality in Urban and Rural Areas of Iranshahr County (Southeast of Iran) in 2009-2013: A Retrospective Study.

Tahmineh Karimzaei, Iraj Zareban, Abdul-Qaffar Jamalzae, Fatemeh Darban, Khadejeh Dehghan Bakhshani, Abbas Balouchi

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Article in Journal of clinical and diagnostic research : JCDR, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 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

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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, 2 syntheses or guidelines pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Tahmineh KarimzaeiLecturer, Department of Midwifery, Iranshahr University of Medical Sciences , Iranshahr, Iran .
Iraj ZarebanAssistant Professor, Department of Public Health, Health Promotion Research Center, Zahedan University of Medical Sciences , Zahedan, Iran .
Abdul-Qaffar JamalzaeLecturer, Department of Medical Education, Zahedan University of Medical Sciences , Zahedan, Iran .
Fatemeh DarbanLecturer, Department of Nursing, Iranshahr University of Medical Sciences , Iranshahr, Iran .
Khadejeh Dehghan BakhshaniLecturer, Department of Midwifery, Iranshahr University of Medical Sciences , Iranshahr, Iran .
Abbas BalouchiStudent, Student Research Committee, Department of Nursing, Faculty of Nursing and Midwifery, Zabol University of Medical Sciences , Zabol, Iran .

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMaternal mortality is one of the threatening factors of human life and the overall status index of women's health in any society. Death of a mother causes irreversible damage to a family and a society. This study aims at examining the causes of maternal mortality in urban and rural areas.

aimThe purpose of this study was to determine the frequney and causes of maternal mortality in urban and rural areas in southeast of Iran in 2009-2013. MATERIALS AND

methodsThis was a retrospective descriptive study and its research population includes the entire pregnant woman who died in Iranshahr County between April 2009 and March 2013. An eight-section questionnaire was used for collecting data. The first section was based on the hospital records of pregnant woman including mother's demographic data and the following sections were completed based on their health records.

resultsThe frequency of maternal mortality during birth in the study period was 34 (of 4857). The study individuals were between 13 and 40-year-old with the mean age of 30±6.4. Maximum maternal mortality occurred in 2012. Haemorrhage was the most common cause of maternal death (38.2%).

conclusionAs haemorrhage was the most common cause of death of pregnant women in this study, it seems necessary to improve care for woman and reduce haemorrhage and its complications during pregnancy period.

Indexed as

Birth complicationsHaemorrhageHealth challengesPregnancy complications

Identifiers

PMID27656510
PMCPMC5028460

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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.