Evidence map›Paper›PMID 39430153›Full record

ReviewIranian journal of public health2024

Investigating the Causes of Neonatal Mortality: An Umbrella Review.

Elham Amini, Mohammad Heidarzadeh, Leila Ahmadian, Shahram Ariafar, Mohammadreza Amiresmaili

Abstract readReview
In one paragraph

Review in Iranian journal of public health, 2024. 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
–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

2 citing papers in PubMed.

  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.

Elham AminiStudent Research Committee, Kerman University of Medical Sciences, Kerman, Iran.
Mohammad HeidarzadehDepartment of Pediatrics, School of Medicine, Zahedan University of Medical Science, Zahedan, Iran.
Leila AhmadianDepartment of Health Information Sciences, Faculty of Management and Medical Information Sciences, Kerman University of Medical Sciences, Kerman, Iran.
Shahram AriafarDepartment of Industrial Engineering, Faculty of Engineering, Shahid Bahonar University of Kerman, Kerman, Iran.
Mohammadreza AmiresmailiHealth in Disasters and Emergencies Research Center, Kerman University of Medical Sciences, Kerman, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Neonatal mortality remains a critical global challenge, with preventable instances prevailing. The initial stride in mitigating neonatal mortality involves elucidating its underlying causes. Methods: This study utilized an umbrella review approach to discern factors associated with neonatal mortality. Five international databases, namely Pub Med, Web of Science, Scopus, CINAHL, and EMBASE, were meticulously searched to achieve this. Results: The initial search yielded 12,631 articles using a search strategy centered on keywords related to factors contributing to neonatal mortality. Ultimately, 95 articles met the criteria incorporated into this study. Conclusion: This study endeavors to identify the primary risk factors contributing to neonatal mortality. The discerned risk factors have been systematically categorized into four groups: maternal factors, neonatal factors, aspects linked to healthcare systems, and socio-economic factors. As such, it is imperative for policymakers to take heed of these identified risk factors and formulate comprehensive strategies encompassing both long-term and short-term initiatives. Effective interventions spanning various sectors are crucial for the prevention of neonatal mortality.

Indexed as

CausesMortalityNeonatalUmbrella review

Identifiers

PMID39430153
PMCPMC11488557

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.