Evidence map›Paper›PMID 24450377›Full record

Trial reportAmerican journal of respiratory and critical care medicine2014

Diagnostic accuracy of intracellular mycobacterium tuberculosis detection for tuberculous meningitis.

Guo-dong Feng, Ming Shi, Lei Ma, Ping Chen, Bing-ju Wang, Min Zhang, Xiao-lin Chang, Xiu-chu Su, Yi-ning Yang, Xin-hong Fan and 28 more

Abstract readClinical TrialMulticenter Study
In one paragraph

Trial report in American journal of respiratory and critical care medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
6.5field-weighted citation impact, top 3% 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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 45 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Aptamer Detection ofFrontiers in cellular and infection microbiology · 2021
    Article
  11. Epidemiology of Noble Pen Shell (Pathogens (Basel, Switzerland) · 2020
    Article
  12. Article
  13. Article
  14. Tuberculosis Meningitis.Current infectious disease reports · 2017
    Review
  15. Article
  16. Article
  17. Article
  18. Simultaneous Detection of Five Pathogens from Cerebrospinal Fluid Specimens Using Luminex Technology.International journal of environmental research and public health · 2016
    Article
  19. Article
  20. Observational
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

38 authors at 14 institutions in 3 countries.

Guo-dong Feng1 Department of Neurology.
Ming Shi
Lei Ma
Ping Chen
Bing-ju Wang
Min Zhang
Xiao-lin Chang
Xiu-chu Su
Yi-ning Yang
Xin-hong Fan
Wen Dai
Ting-ting Liu
Ying He
Ting Bian
Li-xin Duan
Jin-ge Li
Xiao-ke Hao
Jia-yun Liu
Xin Xue
Yun-zhang Song
Hai-qin Wu
Guo-qiang Niu
Li Zhang
Cui-juan Han
Hong Lin
Zhi-hui Lin
Jian-jun Liu
Qian Jian
Jin-she Zhang
Ye Tian
Bai-yu Zhou
Jing Wang
Chang-hu Xue
Xiao-fang Han
Jian-feng Wang
Shou-lian Wang
Guy E Thwaites
Gang Zhao
First Hospital of Xi'an · CNXijing Hospital · CNOxford University Clinical Research Unit · VNXi'an Chest Hospital · CNJiangSu Armed Police General Hospital · CNShanxi Medical University · CNSoochow University · CNUniversity of Oxford · GBWeinan Central Hospital · CNXian Central Hospital · CNXi’an Children’s Hospital · CNXiangyang Central Hospital · CNXi'an Honghui Hospital · CNXian Yang Central Hospital · CN

Funding

Wellcome Trust
6 · The paper itself

Abstract

rationaleEarly diagnosis and treatment of tuberculous meningitis saves lives, but current laboratory diagnostic tests lack sensitivity.

objectivesWe investigated whether the detection of intracellular bacteria by a modified Ziehl-Neelsen stain and early secretory antigen target (ESAT)-6 in cerebrospinal fluid leukocytes improves tuberculous meningitis diagnosis.

methodsCerebrospinal fluid specimens from patients with suspected tuberculous meningitis were stained by conventional Ziehl-Neelsen stain, a modified Ziehl-Neelsen stain involving cytospin slides with Triton processing, and an ESAT-6 immunocytochemical stain. Acid-fast bacteria and ESAT-6-expressing leukocytes were detected by microscopy. All tests were performed prospectively in a central laboratory by experienced technicians masked to the patients' final diagnosis. MEASUREMENTS AND MAIN

resultsTwo hundred and eighty patients with suspected tuberculous meningitis were enrolled. Thirty-seven had Mycobacterium tuberculosis cultured from cerebrospinal fluid; 40 had a microbiologically confirmed alternative diagnosis; the rest had probable or possible tuberculous meningitis according to published criteria. Against a clinical diagnostic gold standard the sensitivity of conventional Ziehl-Neelsen stain was 3.3% (95% confidence interval, 1.6-6.7%), compared with 82.9% (95% confidence interval, 77.4-87.3%) for modified Ziehl-Neelsen stain and 75.1% (95% confidence interval, 68.8-80.6%) for ESAT-6 immunostain. Intracellular bacteria were seen in 87.8% of the slides positive by the modified Ziehl-Neelsen stain. The specificity of modified Ziehl-Neelsen and ESAT-6 stain was 85.0% (95% confidence interval, 69.4-93.8%) and 90.0% (95% confidence interval, 75.4-96.7%), respectively.

conclusionsEnhanced bacterial detection by simple modification of the Ziehl-Neelsen stain and an ESAT-6 intracellular stain improve the laboratory diagnosis of tuberculous meningitis.

Indexed as

AdolescentAdultAgedAged, 80 and overAntigens, BacterialBacterial ProteinsBiomarkersChildChild, PreschoolFemaleHumansImmunohistochemistryLeukocytesMaleMiddle AgedMycobacterium tuberculosisAntigens, BacterialBacterial ProteinsBiomarkersESAT-6 protein, Mycobacterium tuberculosis

Identifiers

PMID24450377
PMCPMC3977721
OpenAlexW2171665419

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.