Evidence map›Paper›PMID 42021989›Full record

ArticleIJID regions2026

Morbidity patterns, mortality, and antimicrobial resistance among children hospitalized in neonatal and pediatric intensive care units in a rural area of Vietnam.

Khanh Linh Dang, Xuan Hiep Luong, Cong Khang Dinh, Nhu Quynh Le, Duy Cuong Nguyen, Trong Kiem Tran, Hai Yen Dang, Nang Trong Hoang, Trung Kien Nguyen, Minh Tien Bui and 2 more

Abstract read
In one paragraph

Article in IJID regions, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

12 authors.

Khanh Linh DangThai Binh University of Medicine and Pharmacy, Hung Yen, Vietnam.
Xuan Hiep LuongThai Binh University of Medicine and Pharmacy, Hung Yen, Vietnam.
Cong Khang DinhThai Binh University of Medicine and Pharmacy, Hung Yen, Vietnam.
Nhu Quynh LeThai Binh University of Medicine and Pharmacy, Hung Yen, Vietnam.
Duy Cuong NguyenThai Binh University of Medicine and Pharmacy, Hung Yen, Vietnam.
Trong Kiem TranThai Binh Pediatric Hospital, Hung Yen, Vietnam.
Hai Yen DangThai Binh Pediatric Hospital, Hung Yen, Vietnam.
Nang Trong HoangThai Binh University of Medicine and Pharmacy, Hung Yen, Vietnam.
Trung Kien NguyenThai Binh University of Medicine and Pharmacy, Hung Yen, Vietnam.
Minh Tien BuiThai Binh University of Medicine and Pharmacy, Hung Yen, Vietnam.
Van Thuan HoangThai Binh University of Medicine and Pharmacy, Hung Yen, Vietnam.
Thi Loi DaoThai Binh University of Medicine and Pharmacy, Hung Yen, Vietnam.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To describe disease burden and antibiotic resistance among children hospitalized in the neonatal department (ND) and pediatric intensive care unit (PICU) in a rural area of Vietnam. Methods: This was a retrospective study. Data on admissions to the ND and PICU from 2022 to 2024 were extracted and analyzed from electronic medical records. Results: 2359 patients were included. Respiratory tract infections accounted for 44.6% of all diagnoses, followed by respiratory failure or asphyxia (24.3%), neonatal jaundice (11.5%), and sepsis (9.9%). Cardiovascular, digestive, neurological diseases, COVID-19, and anemia each contributed 0.5-2.4%. Length of stay was shorter for non-infectious diseases compared with infectious diseases (median 6 vs 10 days, Conclusion: Improving survival in resource-limited settings requires better perinatal and respiratory care, stronger infection prevention, timely diagnostics, and antibiotic stewardship.

Indexed as

Antibiotic resistanceChildrenMorbidityMortalityNeonatesPediatrics intensive care unit

Identifiers

PMID42021989
PMCPMC13096891

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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.