Evidence map›Paper›PMID 40412396›Full record

Observational studyThe Lancet. Global health2025

Health-care burden related to respiratory syncytial virus in a resource-constrained setting: a prospective observational study.

Senjuti Saha, Sudipta Saha, Naito Kanon, Yogesh Hooda, Mohammad Shahidul Islam, Shuborno Islam, Zabed Bin Ahmed, Sheikh Wasik Rahman, Md Jahangir Alam, Ataul Mustufa Anik and 4 more

Abstract readObservational Study
In one paragraph

Observational study in The Lancet. Global health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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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.

Senjuti SahaChild Health Research Foundation, Dhaka, Bangladesh. Electronic address: senjutisaha@chrfbd.org.
Sudipta SahaChild Health Research Foundation, Dhaka, Bangladesh; Department of Social and Behavioral Sciences, Harvard T H Chan School of Public Health, Boston, MA, USA.
Naito KanonChild Health Research Foundation, Dhaka, Bangladesh.
Yogesh HoodaChild Health Research Foundation, Dhaka, Bangladesh.
Mohammad Shahidul IslamChild Health Research Foundation, Dhaka, Bangladesh.
Shuborno IslamChild Health Research Foundation, Dhaka, Bangladesh.
Zabed Bin AhmedChild Health Research Foundation, Dhaka, Bangladesh.
Sheikh Wasik RahmanChild Health Research Foundation, Dhaka, Bangladesh.
Md Jahangir AlamDepartment of Pediatric Respiratory Medicine (Pulmonology), Bangladesh Shishu Hospital and Institute, Dhaka, Bangladesh.
Ataul Mustufa AnikChild Health Research Foundation, Dhaka, Bangladesh.
Probir K SarkarDepartment of Pediatric Respiratory Medicine (Pulmonology), Bangladesh Shishu Hospital and Institute, Dhaka, Bangladesh.
Mohammed Rizwanul AhsanDepartment of Emergency, Observatory and Referral, Bangladesh Shishu Hospital and Institute, Dhaka, Bangladesh.
Md Ruhul AminChild Health Research Foundation, Dhaka, Bangladesh.
Samir K SahaChild Health Research Foundation, Dhaka, Bangladesh; Department of Microbiology, Bangladesh Shishu Hospital and Institute, Dhaka, Bangladesh. Electronic address: samir@chrfbd.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRespiratory syncytial virus (RSV) is a leading cause of paediatric hospital admissions worldwide, straining health systems. A lack of data on the burden of RSV infections and the impact on health systems in resource-limited settings hinders evidence-based policy decisions. Here, we aimed to assess RSV's burden on the health system in Bangladesh.

methodsFrom January to December, 2019, we conducted a prospective study at Bangladesh's largest paediatric hospital among children aged 0-59 months admitted with a possible respiratory infection, as guided by the WHO RSV hospital-based surveillance case definition. Outcomes for RSV-positive children younger than 5 years were analysed. We also followed up outcomes of children denied hospitalisation due to bed shortages. Adjusted hazard ratios for children denied admission versus admitted were estimated using survival analysis. Monte Carlo simulations with a queueing model were used to estimate the effects of RSV prefusion F maternal vaccine or nirsevimab on admission denials and mortality.

findingsOf 40 664 children admitted, 31 692 were younger than 5 years; 19 940 were in study wards. Among 7191 admitted with possible respiratory infections, 6149 (85·5%) had nasopharyngeal swabs taken, with 1261 (20·5%) testing RSV-positive. The median age of children who tested positive for RSV was 3·0 months (IQR 1·0-8·0), with a median hospital stay of 5 days (IQR 4-8); 24 (1·9%) of 1261 died in hospital. 8274 (5·5%) of 151 110 bed days were for children who were positive for RSV. Additionally, of 9169 children denied admission, outcomes were tracked for 3928 and compared with 2845 admitted. The hazard ratio for death was 1·56 (95% CI 1·34 to 1·81) for children denied versus admitted, being highest for neonates at 2·27 (1·87 to 2·75). RSV prefusion F maternal vaccine or nirsevimab could have reduced denials by 677 (95% prediction interval 63 to 1347) and 1289 (684 to 1865), respectively, potentially preventing 130 (-60 to 322) and 258 (32 to 469) deaths.

interpretationRSV strains health care in Bangladesh, increasing mortality risks. Preventive interventions could lessen its impact, boosting health-care capacity and child health in resource-limited settings.

fundingThe Bill & Melinda Gates Foundation.

Indexed as

Cost of IllnessHospitalizationRespiratory Syncytial Virus InfectionsBangladeshChild, PreschoolFemaleHealth ResourcesHumansInfantInfant, NewbornMaleProspective Studies

Identifiers

PMID40412396
PMCPMC12100462

What OpenQuestion holds

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LicenceCC BY
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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.