Evidence map›Paper›PMID 23285233›Full record

ArticlePloS one2012

Evaluation of biochip system in determining isoniazid and rifampicin resistances of mycobacterium tuberculosis in sputum samples.

Wei Lu, Cheng Chen, Yan Shao, Jinyan Shi, Chongqiao Zhong, Dandan Yang, Honghuan Song, Guoli Li, Xiaoyan Ding, Hong Peng and 3 more

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 38% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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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

13 authors at 2 institutions in 1 country.

Wei LuDepartment of Chronic Communicable Disease, Center for Disease Control and Prevention of Jiangsu Province, Nanjing, Jiangsu Province, People's Republic of China.
Cheng Chen
Yan Shao
Jinyan Shi
Chongqiao Zhong
Dandan Yang
Honghuan Song
Guoli Li
Xiaoyan Ding
Hong Peng
Linyang Zhu
Yang Zhou
Limei Zhu
Jiangsu Provincial Center for Disease Control and Prevention · CNThe First People’s Hospital of Lianyungang · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate a biochip system in determining isoniazid and rifampicin resistances of Mycobacterium tuberculosis in sputum samples in a Chinese population.

methodsWe assembled 907 sputum smeared positive specimens of tuberculosis patients in total. Each sample would be separated into two parts for culture and biochip assay simultaneously. And those cultured positive and having full drug resistance results would be used as reference. The McNemar χ² test was adopted for evaluating the paired 2×2 table.

resultsCompared with drug sensitivity test, the agreement rates of the two methods in detecting rifampicin and isoniazid resistances were 93.37% and 94.49%, respectively. The sensitivity and specificity of biochip in detecting isoniazid were 74.31% and 96.92%, respectively. Meanwhile, the sensitivity and specificity for rifampicin were 79.76% and 96.53%, respectively. For multi-drug resistance, the sensitivity and specificity were 64.62% and 97.75%, respectively.

conclusionsThe biochip system is a rapid and accurate method for drug resistant tuberculosis diagnosis using sputum samples directly, especially for rifampicin resistance detection.

Indexed as

Drug Resistance, Multiple, BacterialAntitubercular AgentsChinaHigh-Throughput Screening AssaysHumansIsoniazidMicroarray AnalysisMicrobial Sensitivity TestsMycobacterium tuberculosisPrevalenceRifampinSensitivity and SpecificitySputumTuberculosis, Multidrug-ResistantValidation Studies as TopicAntitubercular AgentsIsoniazidRifampin

Identifiers

PMID23285233
PMCPMC3532416
OpenAlexW1971235305

What OpenQuestion holds

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LicenceCC BY
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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.