Evidence map›Paper›PMID 35296470›Full record

ArticleBMJ open2022

Fever of unknown origin (FUO) in children: a single-centre experience from Beijing, China.

Bing Hu, Tian-Ming Chen, Shu-Ping Liu, Hui-Li Hu, Ling-Yun Guo, He-Ying Chen, Shao-Ying Li, Gang Liu

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
4.6field-weighted citation impact, top 5% of its field
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

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

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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 at 1 institution in 1 country.

Bing HuDepartment of Infectious Diseases, National Center for Children's Health, Beijing Children's Hospital Capital Medical University, Beijing, China.
Tian-Ming ChenDepartment of Infectious Diseases, National Center for Children's Health, Beijing Children's Hospital Capital Medical University, Beijing, China.
Shu-Ping LiuDepartment of Infectious Diseases, National Center for Children's Health, Beijing Children's Hospital Capital Medical University, Beijing, China.
Hui-Li HuDepartment of Infectious Diseases, National Center for Children's Health, Beijing Children's Hospital Capital Medical University, Beijing, China.
Ling-Yun GuoDepartment of Infectious Diseases, National Center for Children's Health, Beijing Children's Hospital Capital Medical University, Beijing, China.
He-Ying ChenDepartment of Infectious Diseases, National Center for Children's Health, Beijing Children's Hospital Capital Medical University, Beijing, China.
Shao-Ying LiDepartment of Infectious Diseases, National Center for Children's Health, Beijing Children's Hospital Capital Medical University, Beijing, China.
Gang LiuDepartment of Infectious Diseases, National Center for Children's Health, Beijing Children's Hospital Capital Medical University, Beijing, China liugang@bch.com.cn.ORCID 0000-0001-8831-7675
Capital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo date, there is no standard diagnostic practice to identify the underlying disease-causing mechanism for paediatric patients suffering from chronic fever without any specific diagnosis, which is one of the leading causes of death in paediatric patients. Therefore, we aimed this retrospective study to analyse medical records of paediatric patients with fever of unknown origin (FUO) to provide a preliminary basis for improving the diagnostic categories and facilitate the treatment outcomes.

designA retrospective study.

settingBeijing Children's Hospital.

participantsClinical data were collected from 1288 children between 1 month and 18 years of age diagnosed with FUO at Beijing Children's Hospital between January 2010 and December 2017.

interventionsAccording to the aetiological composition, age, duration of fever and laboratory examination results, the diagnostic strategies were analysed and formulated. PRIMARY AND SECONDARY OUTCOME MEASURES: The statistical analyses were carried out using SPSS V.24.0 platform along with the χ

resultsThe duration of fever ranged from 2 weeks to 2 years, with an average of 6 weeks. There were 656 cases (50.9%) of infectious diseases, 63 cases (4.9%) of non-infectious inflammatory diseases (NIIDs), 86 cases (6.7%) of neoplastic diseases, 343 cases (26.6%) caused by miscellaneous diseases and 140 cases (10.9%) were undiagnosed. With increasing age, the proportion of FUO from infectious diseases gradually decreased from 73.53% to 44.21%. NIID was more common in children over 3 years old, and neoplastic diseases mainly occurred from 1 to 6 years of age. Among miscellaneous diseases, the age distribution was mainly in school-aged children over 6 years. Respiratory tract infection was the most common cause of FUO in children, followed by bloodstream infections. Bacterial infection was the most common cause in children with less than 1 year old, while the virus was the main pathogen in children over 1 year old.

conclusionsThe diagnosis of neoplastic diseases and miscellaneous diseases-related diseases still depends mainly on invasive examination. According to our clinical experience, the diagnostic process was formulated based on fever duration and the type of disease. This process can provide a guide for the diagnosis and treatment of paediatric FUO in the future.

Indexed as

Communicable DiseasesFever of Unknown OriginBeijingChildChild, PreschoolChinaHumansInfantRetrospective Studieschild protectioncommunity child healthdiagnostic microbiologypaediatric infectious disease & immunisationpaediatric pathology

Identifiers

PMID35296470
PMCPMC8928314
OpenAlexW4221057242

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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.