Evidence map›Paper›PMID 28351283›Full record

ArticleThe Journal of international medical research2017

Evaluation of GeneXpert MTB/RIF for detecting Mycobacterium tuberculosis in a hospital in China.

Tingyu Tang, Fang Liu, Xiaoling Lu, Qingdong Huang

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The Journal of international medical research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 6 pooled it
2.9field-weighted citation impact, top 9% 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, 6 syntheses or guidelines pooled it, 34 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. [Accuracy of XpertBeijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2020
    Pooled it
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  7. Trial
  8. Article
  9. Review
  10. Detection ofIJID regions · 2022
    Article
  11. Drug resistance characteristics ofEpidemiology and infection · 2022
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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

4 authors at 1 institution in 1 country.

Tingyu TangDepartment of Respiratory Medicine, Zhejiang Hospital, Xihu District, Hangzhou, Zhejiang Province, China.
Fang LiuDepartment of Respiratory Medicine, Zhejiang Hospital, Xihu District, Hangzhou, Zhejiang Province, China.
Xiaoling LuDepartment of Respiratory Medicine, Zhejiang Hospital, Xihu District, Hangzhou, Zhejiang Province, China.
Qingdong HuangDepartment of Respiratory Medicine, Zhejiang Hospital, Xihu District, Hangzhou, Zhejiang Province, China.
Zhejiang Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective To evaluate the performance of GeneXpert MTB/RIF in diagnosing pulmonary tuberculosis (TB) in China. Methods This cross-sectional study included sputum specimens of 240 suspected TB cases. Specimens were examined by light microscopy for the presence of acid-fast bacilli, which were cultured by the BACTEC MGIT 960 (M960) system and detected by the GeneXpert MTB/RIF assay. The positive rate, sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and average turnaround time of methods were evaluated. Results The positive rate was 36.6% (87/238) for the GeneXpert MTB/RIF assay and 34.0% (81/238) by M960 culture, with no significant difference between methods (χ

Indexed as

Reagent Kits, DiagnosticAdolescentAdultAgedAntitubercular AgentsAutomation, LaboratoryChinaCross-Sectional StudiesCulture MediaDrug Resistance, BacterialFemaleHospitalsHumansMaleMiddle AgedMycobacterium tuberculosisAntitubercular AgentsCulture MediaReagent Kits, DiagnosticRifampinChinaGeneXpert MTB/RIFTuberculosis

Identifiers

PMID28351283
PMCPMC5536641
OpenAlexW2603965883

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.