Evidence map›Paper›PMID 36990986›Full record

ArticleNature communications2023

Long-term measles antibody profiles following different vaccine schedules in China, a longitudinal study.

Qianli Wang, Wei Wang, Amy K Winter, Zhifei Zhan, Marco Ajelli, Filippo Trentini, Lili Wang, Fangcai Li, Juan Yang, Xingyu Xiang and 8 more

Erratum issuedAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–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

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors.

Qianli Wang *Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, China.
Wei Wang *School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China.
Amy K Winter *Department of Epidemiology and Biostatistics, University of Georgia, Athens, GA, USA.
Zhifei Zhan *Hunan Provincial Center for Disease Control and Prevention, Changsha, China.
Marco AjelliLaboratory for Computational Epidemiology and Public Health, Department of Epidemiology and Biostatistics, Indiana University School of Public Health, Bloomington, IN, USA.ORCID http://orcid.org/0000-0003-1753-4749
Filippo TrentiniDondena Centre for Research on Social Dynamics and Public Policy, Bocconi University, Milan, Italy.
Lili WangSchool of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China.
Fangcai LiHunan Provincial Center for Disease Control and Prevention, Changsha, China.
Juan YangSchool of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China.ORCID http://orcid.org/0000-0001-5028-2227
Xingyu XiangHunan Provincial Center for Disease Control and Prevention, Changsha, China.
Qiaohong LiaoSchool of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China.
Jiaxin ZhouSchool of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China.
Jinxin GuoSchool of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China.
Xuemei YanSchool of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China.
Nuolan LiuSchool of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China.
C Jessica E MetcalfDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA.ORCID http://orcid.org/0000-0003-3166-7521
Bryan T GrenfellDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA.
Hongjie YuShanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, China. yhj@fudan.edu.cn.ORCID http://orcid.org/0000-0002-6335-5648

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Characterizing the long-term kinetics of maternally derived and vaccine-induced measles immunity is critical for informing measles immunization strategies moving forward. Based on two prospective cohorts of children in China, we estimate that maternally derived immunity against measles persists for 2.4 months. Following two-dose series of measles-containing vaccine (MCV) at 8 and 18 months of age, the immune protection against measles is not lifelong, and antibody concentrations are extrapolated to fall below the protective threshold of 200 mIU/ml at 14.3 years. A catch-up MCV dose in addition to the routine doses between 8 months and 5 years reduce the cumulative incidence of seroreversion by 79.3-88.7% by the age of 6 years. Our findings also support a good immune response after the first MCV vaccination at 8 months. These findings, coupled with the effectiveness of a catch-up dose in addition to the routine doses, could be instrumental to relevant stakeholders when planning routine immunization schedules and supplemental immunization activities.

Indexed as

MeaslesAdolescentAntibodies, ViralChildChinaHumansInfantLongitudinal StudiesMeasles VaccineProspective StudiesVaccinationAntibodies, ViralMeasles Vaccine

Identifiers

PMID36990986
PMCPMC10054217

What OpenQuestion holds

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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.