Evidence map›Paper›PMID 34607560›Full record

ArticleBMC pediatrics2021

Time to death and its associated factors among infants in sub-Saharan Africa using the recent demographic and health surveys: shared frailty survival analysis.

Sofonyas Abebaw Tiruneh, Ejigu Gebeye Zeleke, Yaregal Animut

Abstract read
In one paragraph

Article in BMC pediatrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Determinants of infant mortality in Oromia region, Ethiopia.Annals of medicine and surgery (2012) · 2023
    Article
  15. Article
  16. Article
  17. Epidemiological Profile and Spatio-Temporal Pattern of Infant Deaths in a District of North India during 2016-2019.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
    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

3 authors.

Sofonyas Abebaw TirunehDepartment of Public Health, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia. zephab2@gmail.com.
Ejigu Gebeye ZelekeDepartment of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Yaregal AnimutDepartment of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlobally, approximately 4.1 million infants died, accounting for 75% of all under-five deaths. In sub-Saharan Africa (SSA), infant mortality was 52.7/1000 live births in 2018 This study aimed to assess the pooled estimate of infant mortality rate (IMR), time to death, and its associated factors in SSA using the recent demographic and health survey dataset between 2010 and 2018.

methodsData were retrieved from the standard demographic and health survey datasets among 33 SSA countries. A total of 93,765 samples were included. The data were cleaned using Microsoft Excel and STATA software. Data analysis was done using R and STATA software. Parametric shared frailty survival analysis was employed. Statistical significance was declared as a two-side P-value < 0.05.

resultsThe pooled estimate of IMR in SSA was 51 per 1000 live births (95% Confidence Interval (CI): 46.65-55.21). The pooled estimate of the IMR was 53 in Central, 44 in Eastern, 44 in Southern, and 57 in Western Africa per 1000 live births. The cumulative survival probability at the end of 1 year was 56%. Multiple births (Adjusted Hazard ratio (AHR) = 2.68, 95% CI: 2.54-2.82), low birth weight infants (AHR = 1.28, 95% CI: 1.22-1.34), teenage pregnancy (AHR = 1.19, 95 CI: 1.10-1.29), preceding birth interval <  18 months (AHR = 3.27, 95% CI: 3.10-3.45), birth order ≥ four (AHR = 1.14, 95% CI:1.10-1.19), home delivery (AHR = 1.08, 95% CI: 1.04-1.13), and unimproved water source (AHR = 1.07, 95% CI: 1.01-1.13), female sex (AHR = 0.86, 95% CI: 0.83-0.89), immediately breastfeed (AHR = 0.24, 95% CI: 0.23-0.25), and educated mother (AHR = 0.88, 95% CI: 0.82-0. 95) and educated father (AHR = 0.90, 95% CI: 0.85-0.96) were statistically significant factors for infant mortality.

conclusionSignificant number of infants died in SSA. The most common cause of infant death is a preventable bio-demographic factor. To reduce infant mortality in the region, policymakers and other stakeholders should pay attention to preventable bio-demographic risk factors, enhance women education and improved water sources.

Indexed as

FrailtyAdolescentAfrica South of the SaharaBirth IntervalsFemaleHealth SurveysHumansInfantInfant MortalityPregnancyProportional Hazards ModelsInfant mortality rateShared frailtySSA

Identifiers

PMID34607560
PMCPMC8489062

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.