Evidence map›Paper›PMID 28146099›Full record

ArticleChildren (Basel, Switzerland)2017

Pediatric Mortality in a Rural Tertiary Care Center in Liberia.

Carmelle Tsai, Camila B Walters, John Sampson, Francis Kateh, Mary P Chang

Open access · goldAbstract read
In one paragraph

Article in Children (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.2field-weighted citation impact, top 18% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
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

5 authors at 4 institutions in 2 countries.

Carmelle TsaiDepartment of Pediatrics, University of Texas at Southwestern, Dallas, Texas 75390, USA. carmelle.tsai@gmail.com.
Camila B WaltersDepartment of Anesthesiology/Pediatric Anesthesiology, Vanderbilt University, Nashville, Tennessee 37232, USA. camila.walters@vanderbilt.edu.
John SampsonDepartment of Anesthesiology/Critical Care Medicine, Johns Hopkins University, Baltimore, Maryland 21205, USA. jsampso4@jhmi.edu.
Francis KatehMinistry of Health and Social Welfare, Monrovia, Liberia. frankateh@aol.com.
Mary P ChangDepartment of Emergency Medicine, University of Texas at Southwestern, Dallas, Texas 75390, USA. mary.chang@utsouthwestern.edu.
The University of Texas Southwestern Medical Center · USJohns Hopkins Medicine · USMinistry of Health and Social Welfare · LRVanderbilt University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liberia is a low-income country in West Africa that has faced significant challenges, including a civil war and the recent Ebola epidemic. Little data exists on the more current post-war and pre-Ebola trends of child health in Liberia in the rural setting. This study is a retrospective chart review of pediatric mortality in 2013 at a rural tertiary care center in Liberia, 10 years post-war. From January 2013 to December 2013, there were 50 pediatric deaths, or 5.4% of the 920 total pediatric admissions. The most common cause of neonatal death was sepsis, and the most common cause of death under five years of age was malaria. The majority (82.0%) of the deaths were in children under five. Pediatric mortality at this hospital was similar to other reported mortality six years post-war, and lower than that reported immediately post-war. Neonatal sepsis and malaria are two significant causes of pediatric mortality in this community and, therefore, further efforts to decrease childhood mortality should focus on these causes.

Indexed as

Liberiamortalitypediatrics

Identifiers

PMID28146099
PMCPMC5332910
OpenAlexW2582434924

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.