Evidence map›Paper›PMID 41218304›Full record

ArticleVaccine2025

Rotasiil vaccine effectiveness against rotavirus-associated hospitalizations in the Democratic Republic of the Congo: comparison of multivariate logistic regression and inverse probability treatment weighting methods in a test-negative design.

Christophe Luhata Lungayo, Eleanor Burnett, Audry Mulumba, Augustin Milabyo, Pablito Nasaka, Raymond Adhaku, Etienne Volatier, Jacqueline E Tate, Umesh Parashar, Alpha Oumar Diallo and 13 more

Abstract readComparative Study
In one paragraph

Article in Vaccine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
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

23 authors.

Christophe Luhata LungayoExpanded Program of Immunization, Kinshasa, Congo; Unité d'épidémiologie Clinique, Centre de recherche en Epidémiologie et Santé des Populations - U1018 Inserm, Université Paris Saclay, France. Electronic address: christophe.luhata@gmail.com.
Eleanor BurnettViral Gastroenteritis Branch, Centers for Disease Control and Prevention, Atlanta, Georgia.
Audry MulumbaExpanded Program of Immunization, Kinshasa, Congo.
Augustin MilabyoExpanded Program of Immunization, Kinshasa, Congo.
Pablito NasakaExpanded Program of Immunization, Kinshasa, Congo.
Raymond AdhakuExpanded Program of Immunization, Kinshasa, Congo.
Etienne VolatierUnité d'épidémiologie Clinique, Centre de recherche en Epidémiologie et Santé des Populations - U1018 Inserm, Université Paris Saclay, France.
Jacqueline E TateViral Gastroenteritis Branch, Centers for Disease Control and Prevention, Atlanta, Georgia.
Umesh ParasharViral Gastroenteritis Branch, Centers for Disease Control and Prevention, Atlanta, Georgia.
Alpha Oumar DialloViral Gastroenteritis Branch, Centers for Disease Control and Prevention, Atlanta, Georgia.
Rachel M BurkeViral Gastroenteritis Branch, Centers for Disease Control and Prevention, Atlanta, Georgia.
John Samuel OtombaGAVI, The Vaccine Alliance, Kinshasa, Congo.
Marie-Aliette DommerguesService de pédiatrie générale, centre hospitalier de Versailles, Le Chesnay, France.
Elisabeth PukutaInstitut National de Recherches Biomédicales, République démocratique du, Congo.
Jason M MwendaDiarrhea Pathogens Research Unit (DPRU), Department of Virology, Sefako Makgatho Health Sciences University (SMU), Pretoria, South Africa.
Francis NgoyHôpital Pédiatrique Kalembelembe, Kinshasa, Congo.
Medard NgoyHôpital Pédiatrique Kalembelembe, Kinshasa, Congo.
Noela MosalaDirection de surveillance épidémiologique, Ministère de la Santé, Kinshasa, Congo.
Dominique MutebaDirection de surveillance épidémiologique, Ministère de la Santé, Kinshasa, Congo.
Dido Disengomoka DomingoCentre Hospitalier de Kingasani, Kinshasa, Congo.
John DitekemenaKinshasa School of Public Health, Faculty of Medicine, University of Kinshasa, Congo.
Odile LaunayUniversité Paris Cité; Inserm CIC 1417, F-CRIN I-Reivac; Assistance Publique Hôpitaux de Paris, CIC Cochin-Pasteur, Paris, France.
Romain JouffroyUnité d'épidémiologie Clinique, Centre de recherche en Epidémiologie et Santé des Populations - U1018 Inserm, Université Paris Saclay, France; Intensive Care Unit, Ambroise Paré Hospital, Assistance Publique - Hôpitaux de Paris, Paris, France; IRMES - Institute for Research in Medicine and Epidemiology of Sport, INSEP, Paris, France; EA 7329, Université de Paris, Paris, France.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

backgroundMultinational rotavirus vaccines (Rotarix and RotaTeq) are 43 %-65 % effective in preventing hospitalizations due to rotavirus disease in African countries. The Rotasiil vaccine (Serum Institute of India) offers a potentially cost-effective option but lacks vaccine effectiveness (VE) estimates in African settings. We estimated Rotasiil VE against rotavirus hospitalizations in the Democratic Republic of Congo (DRC) using unconditional multivariate logistic regression and inverse probability of treatment weighting (IPTW) to adjust confounding.

methodsWe examined sentinel surveillance data from two hospitals in Kinshasa (January 1, 2020 to December 31, 2023) for children aged ≤59 months who sought care for acute diarrhea. We used a test-negative case-control design and calculated VE as [1 - adjusted odds ratio (OR) × 100] using unconditional multivariate logistic regression. We compared two approaches to adjust the OR for confounding. First, the OR was adjusted by including the covariates in the model. Second, the OR was adjusted using stabilized IPTW.

resultsIn total, 310 children aged 6 to 30 months were included in the full rotavirus vaccine dose analysis, of which 118 (38 %) were rotavirus positive. The median age was 10 months (range: 8-14), and the proportion of fully vaccinated children was 87 %. The VE measured between fully vaccinated versus unvaccinated children was 60 % (95 % CI: 20-80) by multivariate logistic regression and 79 % (95 % CI: 71-85) by IPTW.

conclusionRotasiil vaccination under conditions of routine use effectively reduces rotavirus-associated diarrhea hospitalizations among children, supporting the ongoing use of rotavirus vaccine. The IPTW VE estimate was more precise than multivariate logistic regression but the confidence intervals overlapped, suggesting that the resulting VE estimates are not statistically different and the methods are complementary.

Indexed as

HospitalizationRotavirus InfectionsRotavirus VaccinesVaccine EfficacyCase-Control StudiesChild, PreschoolDemocratic Republic of the CongoDiarrheaFemaleHumansInfantLogistic ModelsMaleRotavirusSentinel SurveillanceVaccinationRIX4414 vaccineRotavirus VaccinesVaccines, AttenuatedDRCIPTWLogistic regressionRotasiilRotavirus gastroenteritisVaccine effectiveness

Identifiers

PMID41218304
PMCPMC12707395

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Registered trials

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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.