Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 382

The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.

Nirsevimab for Prevention of Hospitalizations Due to RSV in Infants

Open access
Drysdale, Simon B., Cathie, Katrina, Flamein, Florence, Knuf, Markus, Collins, Andrea M., Hill, Helen C., Kaiser, Friedrich, Cohen, Robert, Pinquier, Didier, Felter, Christian T., Vassilouthis, Natalya C., Jin, Jing, Bangert, Mathieu, Mari, Karine, Nteene, Rapi, Wague, Sophie, Roberts, Michelle, Tissières, Pierre, Royal, Simon, Faust, Saul N.·2023·New England Journal of Medicine

Abstract

BACKGROUND: The safety of the monoclonal antibody nirsevimab and the effect of nirsevimab on hospitalizations for respiratory syncytial virus (RSV)-associated lower respiratory tract infection when administered in healthy infants are unclear. METHODS: In a pragmatic trial, we randomly assigned, in a 1:1 ratio, infants who were 12 months of age or younger, had been born at a gestational age of at least 29 weeks, and were entering their first RSV season in France, Germany, or the United Kingdom to receive either a single intramuscular injection of nirsevimab or standard care (no intervention) before or during the RSV season. The primary end point was hospitalization for RSV-associated lower respiratory tract infection, defined as hospital admission and an RSV-positive test result. A key secondary end point was very severe RSV-associated lower respiratory tract infection, defined as hospitalization for RSV-associated lower respiratory tract infection with an oxygen saturation of less than 90% and the need for supplemental oxygen. RESULTS: A total of 8058 infants were randomly assigned to receive nirsevimab (4037 infants) or standard care (4021 infants). Eleven infants (0.3%) in the nirsevimab group and 60 (1.5%) in the standard-care group were hospitalized for RSV-associated lower respiratory tract infection, which corresponded to a nirsevimab efficacy of 83.2% (95% confidence interval [CI], 67.8 to 92.0; P<0.001). Very severe RSV-associated lower respiratory tract infection occurred in 5 infants (0.1%) in the nirsevimab group and in 19 (0.5%) in the standard-care group, which represented a nirsevimab efficacy of 75.7% (95% CI, 32.8 to 92.9; P = 0.004). The efficacy of nirsevimab against hospitalization for RSV-associated lower respiratory tract infection was 89.6% (adjusted 95% CI, 58.8 to 98.7; multiplicity-adjusted P<0.001) in France, 74.2% (adjusted 95% CI, 27.9 to 92.5; multiplicity-adjusted P = 0.006) in Germany, and 83.4% (adjusted 95% CI, 34.3 to 97.6; multiplicity-adjusted P = 0.003) in the United Kingdom. Treatment-related adverse events occurred in 86 infants (2.1%) in the nirsevimab group. CONCLUSIONS: Nirsevimab protected infants against hospitalization for RSV-associated lower respiratory tract infection and against very severe RSV-associated lower respiratory tract infection in conditions that approximated real-world settings. (Funded by Sanofi and AstraZeneca; HARMONIE ClinicalTrials.gov number, NCT05437510).

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1056/nejmoa2309189

Cites

13 of 13 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 13 references

Cited by

See all 382

Metadata

Authors
Drysdale, S. B., Cathie, K., Flamein, F., Knuf, M., Collins, A. M., Hill, H. C., Kaiser, F., Cohen, R., Pinquier, D., Felter, C. T., Vassilouthis, N. C., Jin, J., Bangert, M., Mari, K., Nteene, R., Wague, S., Roberts, M., Tissières, P., Royal, S., & Faust, S. N.
Venue
New England Journal of Medicine
Published
2023-12-28
Volume
389
Issue
26
Pages
2425-2435
ISSN
  • 0028-4793 (ISSN-L)
  • 1533-4406
OpenAlex
W4390262430
Cited by
382
References
13
FWCI
63.72
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Nirsevimab for Prevention of Hospitalizations Due to RSV in Infants. https://app.cochat.ai/papers/10.1056/nejmoa2309189
The paper
Drysdale, S. B., Cathie, K., Flamein, F., Knuf, M., Collins, A. M., Hill, H. C., Kaiser, F., Cohen, R., Pinquier, D., Felter, C. T., Vassilouthis, N. C., Jin, J., Bangert, M., Mari, K., Nteene, R., Wague, S., Roberts, M., Tissières, P., Royal, S., & Faust, S. N. (2023). Nirsevimab for Prevention of Hospitalizations Due to RSV in Infants. New England Journal of Medicine. https://doi.org/10.1056/nejmoa2309189

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.