Evidence map›Paper›PMID 31653675›Full record

ArticlePediatrics2019

A Test for More Accurate Diagnosis of Pulmonary Tuberculosis.

Lin Sun, Xue Qi, Fang Liu, Xirong Wu, Qingqin Yin, Yan Guo, Baoping Xu, Anxia Jiao, Yajie Guo, Weiwei Jiao and 3 more

Abstract read
PubMed Publisher
In one paragraph

Article in Pediatrics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 7 pooled it
3.0field-weighted citation impact, top 8% 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

21 citing papers in PubMed, 7 syntheses or guidelines pooled it, 30 citations in OpenAlex.

  1. Diagnostic accuracy of Xpert MTB/RIF Ultra for detecting pulmonary tuberculosis and rifampicin resistance: a systematic review and meta-analysis.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2025
    Pooled it
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  4. Evaluating the efficacy of stool sample on Xpert MTB/RIF Ultra and its comparison with other sample types by meta-analysis for TB diagnostics.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2022
    Pooled it
  5. Diagnostic accuracy of Xpert ultra for childhood tuberculosis: A preliminary systematic review and meta-analysis.Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology · 2022
    Pooled it
  6. Pooled it
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  8. Article
  9. Review
  10. Article
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  13. Detection of pulmonary tuberculosis in children using the Xpert MTB/RIF Ultra assay on sputum: a multicenter study.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2022
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  17. Review
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  20. Reply to JainAmerican journal of respiratory and critical care medicine · 2020
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 5 institutions in 2 countries.

Lin SunBejing Key Laboratory of Pediatric Respiratory Infectious Diseases, Beijing Pediatric Research Institute, Beijing, China.
Xue QiBejing Key Laboratory of Pediatric Respiratory Infectious Diseases, Beijing Pediatric Research Institute, Beijing, China.
Fang LiuNational Clinical Research Center for Respiratory Disease, National Key Discipline of Pediatrics, Key Laboratory of Major Diseases in Children, and National Center for Children's Health, Ministry of Education of the People's Republic of China, Beijing Children's Hospital, Capital Medical University, Beijing, China; and.
Xirong WuNational Clinical Research Center for Respiratory Disease, National Key Discipline of Pediatrics, Key Laboratory of Major Diseases in Children, and National Center for Children's Health, Ministry of Education of the People's Republic of China, Beijing Children's Hospital, Capital Medical University, Beijing, China; and.
Qingqin YinNational Clinical Research Center for Respiratory Disease, National Key Discipline of Pediatrics, Key Laboratory of Major Diseases in Children, and National Center for Children's Health, Ministry of Education of the People's Republic of China, Beijing Children's Hospital, Capital Medical University, Beijing, China; and.
Yan GuoNational Clinical Research Center for Respiratory Disease, National Key Discipline of Pediatrics, Key Laboratory of Major Diseases in Children, and National Center for Children's Health, Ministry of Education of the People's Republic of China, Beijing Children's Hospital, Capital Medical University, Beijing, China; and.
Baoping XuNational Clinical Research Center for Respiratory Disease, National Key Discipline of Pediatrics, Key Laboratory of Major Diseases in Children, and National Center for Children's Health, Ministry of Education of the People's Republic of China, Beijing Children's Hospital, Capital Medical University, Beijing, China; and.
Anxia JiaoNational Clinical Research Center for Respiratory Disease, National Key Discipline of Pediatrics, Key Laboratory of Major Diseases in Children, and National Center for Children's Health, Ministry of Education of the People's Republic of China, Beijing Children's Hospital, Capital Medical University, Beijing, China; and.
Yajie GuoBejing Key Laboratory of Pediatric Respiratory Infectious Diseases, Beijing Pediatric Research Institute, Beijing, China.
Weiwei JiaoBejing Key Laboratory of Pediatric Respiratory Infectious Diseases, Beijing Pediatric Research Institute, Beijing, China.
Chen ShenBejing Key Laboratory of Pediatric Respiratory Infectious Diseases, Beijing Pediatric Research Institute, Beijing, China; shenad16@hotmail.com.
Jing XiaoBejing Key Laboratory of Pediatric Respiratory Infectious Diseases, Beijing Pediatric Research Institute, Beijing, China.
Adong ShenBejing Key Laboratory of Pediatric Respiratory Infectious Diseases, Beijing Pediatric Research Institute, Beijing, China; shenad16@hotmail.com.
Capital Medical University · CNCapital Institute of Pediatrics · CNMinistry of Education of the People's Republic of China · CNBeijing Children’s Hospital · CNPulmonary Associates · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesXpert

methodsThe accuracy of Ultra was calculated by using bacteriologic results and clinical evidence as reference standards. Concordance between Ultra and Xpert MTB/RIF assays was assessed by using к coefficients.

resultsIn total, 93 children with pulmonary tuberculosis and 128 children with respiratory tract infections were enrolled. The sensitivity of Ultra, in all pulmonary tuberculosis cases and in bacteriologically confirmed tuberculosis cases, was 70% and 91%, respectively. Ultra could detect

conclusionsUltra using bronchoalveolar lavage fluid has good sensitivity compared with bacteriologic tests and adds clinical value by assisting the rapid and accurate diagnosis of pulmonary tuberculosis in children.

Indexed as

AdolescentBronchoalveolar Lavage FluidChildChild, PreschoolDiagnosis, DifferentialFemaleHumansInfantMaleMolecular Diagnostic TechniquesMycobacterium tuberculosisRespiratory Tract InfectionsRetrospective StudiesSensitivity and SpecificityTuberculosis, Pulmonary

Identifiers

PMID31653675
OpenAlexW2981488552

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.