Evidence map›Paper›PMID 40985737›Full record

ArticleMicrobiology spectrum2025

Identifying the irrationality of the diagnosis of "pertussis-like syndrome" to enhance diagnostic accuracy.

Wei Shi, Yahong Hu, Qinghong Meng, Guoshuang Feng, Xinyu Wang, Kaihu Yao

Abstract read
In one paragraph

Article in Microbiology spectrum, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Wei ShiBeijing Key Laboratory of Core Technologies for the Prevention and Treatment of Emerging Infectious Diseases in Children, Key Laboratory of Major Diseases in Children, Ministry of Education, National Key Discipline of Pediatrics, National Clinical Center for Pediatric Infectious and Allergic Disease Surveillance, National Clinical Research Center for Respiratory Diseases, Laboratory of Infection and Microbiology, Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.ORCID 0000-0001-9269-2312
Yahong HuBeijing Key Laboratory of Core Technologies for the Prevention and Treatment of Emerging Infectious Diseases in Children, Key Laboratory of Major Diseases in Children, Ministry of Education, National Key Discipline of Pediatrics, National Clinical Center for Pediatric Infectious and Allergic Disease Surveillance, National Clinical Research Center for Respiratory Diseases, Laboratory of Infection and Microbiology, Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.
Qinghong MengBeijing Key Laboratory of Core Technologies for the Prevention and Treatment of Emerging Infectious Diseases in Children, Key Laboratory of Major Diseases in Children, Ministry of Education, National Key Discipline of Pediatrics, National Clinical Center for Pediatric Infectious and Allergic Disease Surveillance, National Clinical Research Center for Respiratory Diseases, Laboratory of Infection and Microbiology, Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.
Guoshuang FengBig Data Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.
Xinyu WangBig Data Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.ORCID 0000-0001-5377-0816
Kaihu YaoBeijing Key Laboratory of Core Technologies for the Prevention and Treatment of Emerging Infectious Diseases in Children, Key Laboratory of Major Diseases in Children, Ministry of Education, National Key Discipline of Pediatrics, National Clinical Center for Pediatric Infectious and Allergic Disease Surveillance, National Clinical Research Center for Respiratory Diseases, Laboratory of Infection and Microbiology, Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.ORCID 0000-0003-1548-8670

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study is to assess the rationale and epidemiological patterns of "pertussis-like syndrome" diagnoses. A comprehensive analysis of demographic, epidemiological, and etiological characteristics was conducted on 10,561 diagnosed "pertussis-like syndrome" cases across 33 Chinese hospitals. Post-coronavirus disease 2019 pandemic, the incidence of "pertussis-like syndrome" increased significantly. Infants under 1 year old accounted for 69.73% of these cases, and severe outcomes were particularly prevalent among younger infants. Among those admitted to the intensive care unit, 83.03% were under 6 months of age, and 75.00% of the four reported deaths occurring in infants were younger than 3 months. While infants under 1 year consistently represented over half of annual cases, their proportion declined from 82.93% in 2016 to 51.21% in 2022. In contrast, there has been a notable rise in cases among children older than 3 years. It is important to highlight that only 4.37% of cases were exclusively diagnosed as "pertussis-like syndrome," with the majority of patients presenting with comorbidities, particularly lower respiratory tract infections (93.61%). The common pathogens identified in the records included respiratory syncytial virus,

Indexed as

Whooping CoughAdolescentAdultAgedChildChild, PreschoolChinaCOVID-19FemaleHumansIncidenceInfantInfant, NewbornMaleMiddle AgedRespiratory Tract Infectionsdiagnosisetiological testpertussispertussis-like syndrome

Identifiers

PMID40985737
PMCPMC12584627

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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.