Evidence map›Paper›PMID 33879905›Full record

SynthesisBeijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences2020

[Accuracy of Xpert

J N Feng, L Gao, Y X Sun, J C Yang, S W Deng, F Sun, S Y Zhan

Open access · greenAbstract readMeta-AnalysisSystematic Review
PubMed Full text at PMC
In one paragraph

Synthesis in Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 83% 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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. Article
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

7 authors at 1 institution in 1 country.

J N FengDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
L GaoDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
Y X SunDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
J C YangDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
S W DengDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
F SunDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
S Y ZhanDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
Peking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo systematically review the diagnostic accuracy of Xpert

methodsFour Chinese databases (SinoMed, CNKI, WanFang database, and VIP) and three English databases (PubMed, Embase, and The Cochrane Library) were searched from January 1, 2000 to September 15, 2017, to identify diagnostic tests about the accuracy of Xpert

resultsA total of 47 articles were included in this systematic review. Most of them (38 articles) were in Chinese and only 9 articles were in English. All the articles were published during 2014 to 2017, and the sample size ranged from 31 to 3 151. Forty articles including 42 comparisons about TB were finally included with the pooled sensitivity of 0.94 (95%

conclusionXpert

Indexed as

Antibiotics, AntitubercularTuberculosisTuberculosis, Multidrug-ResistantTuberculosis, PulmonaryChinaDiagnostic Tests, RoutineDrug Resistance, BacterialHumansRifampinSensitivity and SpecificityAntibiotics, AntitubercularRifampinMeta-analysisMultidrug-resistant tuberculosisPulmonary tuberculosisXpert® MTB/RIF

Identifiers

PMID33879905
PMCPMC8072426
OpenAlexW3156950242

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.