Evidence map›Paper›PMID 22719933›Full record

ArticlePloS one2012

Etiologic diagnosis of lower respiratory tract bacterial infections using sputum samples and quantitative loop-mediated isothermal amplification.

Yu Kang, Rui Deng, Can Wang, Tao Deng, Peichao Peng, Xiaoxing Cheng, Guoqing Wang, Minping Qian, Huafang Gao, Bei Han and 26 more

Registry-linked trialAbstract read
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. It is linked to trial NCT00567827 (Identification of Bacterial Species and Their Antibiotic-Resistant Spectrum in Sputum Specimen From the Patients With Pneumonia Via Nuclear Acid Detection Assay), which is not on this map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
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.

NCT00567827 completednot on this map

Identification of Bacterial Species and Their Antibiotic-Resistant Spectrum in Sputum Specimen From the Patients With Pneumonia Via Nuclear Acid Detection Assay

TypeobservationalSponsorPeking University People's HospitalRan2007 to 2009Enrolled2,896ConditionsPneumonia
3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Observational
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
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  15. Article
  16. A preliminary study on the potential ofJournal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2016
    Article
  17. Article
  18. Article
  19. Article
  20. 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

36 authors.

Yu KangDepartment of Respiratory and Critical Care Medicine, Peking University People's Hospital, Beijing, People's Republic of China.
Rui Deng
Can Wang
Tao Deng
Peichao Peng
Xiaoxing Cheng
Guoqing Wang
Minping Qian
Huafang Gao
Bei Han
Yusheng Chen
Yinghui Hu
Rong Geng
Chengping Hu
Wei Zhang
Jingping Yang
Huanying Wan
Qin Yu
Liping Wei
Jiashu Li
Guizhen Tian
Qiuyue Wang
Ke Hu
Siqin Wang
Ruiqin Wang
Juan Du
Bei He
Jianjun Ma
Xiaoning Zhong
Lan Mu
Shaoxi Cai
Xiangdong Zhu
Wanli Xing
Jun Yu
Minghua Deng
Zhancheng Gao

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

unlabelledEtiologic diagnoses of lower respiratory tract infections (LRTI) have been relying primarily on bacterial cultures that often fail to return useful results in time. Although DNA-based assays are more sensitive than bacterial cultures in detecting pathogens, the molecular results are often inconsistent and challenged by doubts on false positives, such as those due to system- and environment-derived contaminations. Here we report a nationwide cohort study on 2986 suspected LRTI patients across P. R. China. We compared the performance of a DNA-based assay qLAMP (quantitative Loop-mediated isothermal AMPlification) with that of standard bacterial cultures in detecting a panel of eight common respiratory bacterial pathogens from sputum samples. Our qLAMP assay detects the panel of pathogens in 1047(69.28%) patients from 1533 qualified patients at the end. We found that the bacterial titer quantified based on qLAMP is a predictor of probability that the bacterium in the sample can be detected in culture assay. The relatedness of the two assays fits a logistic regression curve. We used a piecewise linear function to define breakpoints where latent pathogen abruptly change its competitive relationship with others in the panel. These breakpoints, where pathogens start to propagate abnormally, are used as cutoffs to eliminate the influence of contaminations from normal flora. With help of the cutoffs derived from statistical analysis, we are able to identify causative pathogens in 750 (48.92%) patients from qualified patients. In conclusion, qLAMP is a reliable method in quantifying bacterial titer. Despite the fact that there are always latent bacteria contaminated in sputum samples, we can identify causative pathogens based on cutoffs derived from statistical analysis of competitive relationship.

trial registrationClinicalTrials.gov NCT00567827.

Indexed as

Bacterial InfectionsHumansProbabilityRespiratory Tract InfectionsSputum

Identifiers

PMID22719933
PMCPMC3375278

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Registered trials

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.