Evidence map›Paper›PMID 42192157›Full record

ArticleJournal of perinatology : official journal of the California Perinatal Association2026

Temporal trends and patterns in neonatal sepsis mortality across 194 countries, 2000-2021, with projections up to 2050.

Soeun Kim, Kyeongmin Lee, Tae Hyeon Kim, Jaehyeong Cho, Jiyeon Oh, Sooji Lee, Seohyun Hong, Dongjin Yeo, Lee Smith, André Hajek and 4 more

Abstract read
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In one paragraph

Article in Journal of perinatology : official journal of the California Perinatal Association, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Soeun Kim *Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea.
Kyeongmin Lee *Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea.
Tae Hyeon Kim *Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea.
Jaehyeong ChoCenter for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea.
Jiyeon OhCenter for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea.
Sooji LeeCenter for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea.
Seohyun HongCenter for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea.
Dongjin YeoCenter for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea.
Lee SmithCentre for Health Performance and Wellbeing, Anglia Ruskin University, Cambridge, UK.
André HajekDepartment of Health Economics and Health Services Research, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Yerin HwangCenter for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea.
Selin WooCenter for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea.
Hyeon Seok HwangDivision of Nephrology, Department of Internal Medicine, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea.
Dong Keon YonCenter for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea. yonkkang@gmail.com.ORCID http://orcid.org/0000-0003-1628-9948

Funding

Ministry of Science, ICT and Future Planning (MSIP) IITP-2026-RS-2024-00438239
6 · The paper itself

Abstract

objectiveNeonatal sepsis remains a leading cause of neonatal mortality, yet comprehensive evaluations of its current and future burden are limited. This study assessed global, regional, and national trends and projected mortality through 2050. STUDY

designData from the UN child mortality database (2000-2021) across 194 countries were analyzed. Neonatal sepsis was defined using ICD-10 codes P35-P39, excluding P37.3-P37.4. Trends were assessed using annual percentage change, and mortality was projected under three scenarios: continuation of current trends, convergence to high-income country trends, and attainment of the greatest observed national reduction.

resultsIn 2021, the global neonatal sepsis mortality rate was 129.34 per 100,000 live births, a 41.6% reduction since 2000. West and Central Africa had the highest mortality and slowest decline. By 2050, mortality is projected to decline to 61.49 per 100,000.

conclusionsDespite progress, substantial regional disparities persist, highlighting the need for targeted interventions in high-burden regions.

Identifiers

PMID42192157

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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.