Evidence map›Paper›PMID 39778476›Full record

ArticleVaccine2025

A comprehensive analysis of serotype-specific invasive capacity, clinical presentations, and mortality trends of invasive pneumococcal disease.

Melike Yildirim, Pinar Keskinocak, Sarah Hinderstein, Khang Tran, Yazdani Basha Shaik Dasthagirisaheb, Larry Madoff, Stephen Pelton, Inci Yildirim

Abstract read
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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

8 authors.

Melike YildirimDepartment of Industrial and Systems Engineering, Wayne State University, Detroit, MI, United States. Electronic address: melike.y@wayne.edu.
Pinar KeskinocakH. Milton Stewart School of Industrial and Systems Engineering, Atlanta, GA, United States; Center for Health and Humanitarian Systems, Georgia Institute of Technology, Atlanta, GA, United States.
Sarah HindersteinDepartment of Pediatrics, Section of Infectious Diseases and Global Health, Yale University School of Medicine, New Haven, CT, United States.
Khang TranLos Angeles County Department of Public Health, Los Angeles, CA, United States.
Yazdani Basha Shaik DasthagirisahebDepartment of Pediatrics, Section of Infectious Diseases, Boston University, Chobanian and Averdisian School of Medicine, Boston, MA, United States.
Larry MadoffMassachusetts Department of Public Health, Boston, MA, United States.
Stephen PeltonDepartment of Pediatrics, Section of Infectious Diseases, Boston University, Chobanian and Averdisian School of Medicine, Boston, MA, United States.
Inci YildirimDepartment of Pediatrics, Section of Infectious Diseases and Global Health, Yale University School of Medicine, New Haven, CT, United States; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, United States; Yale Institute for Global Health, Yale University, New Haven, CT, United States; Yale Center for Infection and Immunity, Yale University, New Haven, CT, United States. Electronic address: inci.yildirim@yale.edu.

Funding

Immune signatures of vaccine responses in children with sickle cell diseaseR01AI181379 · NIAID · YALE UNIVERSITY · PI Albert C Shaw, Inci Burcin Yildirim · 2024 to 2026
$1.8M
NIAID NIH HHS R01 AI181379
6 · The paper itself

Abstract

backgroundPneumococcal conjugate vaccines (PCV) reduced invasive disease, but the overall prevalence of pneumococcal nasopharyngeal colonization among children has not changed significantly. Our knowledge of which serotypes, once colonized, hold a higher likelihood to cause invasive disease is limited.

methodsSerotype-specific invasive capacity (IC) of Streptococcus pneumoniae was estimated using an enhanced population-based invasive pneumococcal disease (IPD) surveillance in children <7 years of age in Massachusetts and surveillance of nasopharyngeal (NP) colonization in selected Massachusetts communities in corresponding respiratory seasons. Serotype-specific IC was calculated by dividing the annual incidence of IPD by the carriage prevalence for each serotype. Serotype-specific relationship between NP carriage and IPD was evaluated by year, age group (<24 months vs 24-84 months), pre-PCV13 (2003/04, 2006/07, 2008/09) vs post-PCV13 (2010/11, 2013/14, 2015/2016) periods, clinical presentation, and outcome.

resultsA total of 293 IPD and 1602 NP isolates were included in the analysis. Most common IPD serotypes were 19A (34.1 %), 7F (9.2 %), 15 BC (8.9 %), 3 (5.8 %), and 22F (4.8 %). Serotypes 18C, 38, 7F, 19A, 3, 22F, and 33F displayed a higher propensity to cause IPD once colonizing the nasopharynx compared to 11A, 35B, 6C, and 21. Serotype-specific IC was generally lower in children older than 24 months. During the study period, we observed shifts in the dominant serotypes in relation to IC as well as changes between pre- to post-PCV13 era. Except for serotypes 14, 6A, 7F, 11A, 23A, 20, 35F, 7C, 6C and 15F all serotypes presented primarily as bacteremia. Pneumonia was attributed to serotypes 14 and 20; serotypes 35B, 23B, and 11A were responsible for the highest percentage of deaths.

conclusionThis study highlights the need for continued serotype-specific surveillance to better understand the disease potential of emerging serotypes and to guide optimal vaccination strategies.

Indexed as

Pneumococcal InfectionsStreptococcus pneumoniaeCarrier StateChildChild, PreschoolFemaleHumansIncidenceInfantMaleMassachusettsNasopharynxPneumococcal VaccinesPrevalenceSerogroupVaccines, ConjugatePneumococcal VaccinesVaccines, ConjugateSerotypeSerotype-specific invasive capacityStreptococcus pneumoniae

Identifiers

PMID39778476
PMCPMC12859698

What OpenQuestion holds

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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.