Evidence map›Paper›PMID 35651750›Full record

ArticleFrontiers in cellular and infection microbiology2022

Analysis of Negative Results of Metagenomics Next-Generation Sequencing in Clinical Practice.

Mengjia Qian, Bijun Zhu, Yanxia Zhan, Lingyan Wang, Qi Shen, Miaomiao Zhang, Lei Yue, Duojiao Wu, Hao Chen, Xiangdong Wang and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

15 citing papers in PubMed, 26 citations in OpenAlex.

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  15. Special Issue "Advances in Thrombocytopenia".Journal of clinical medicine · 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

11 authors at 5 institutions in 1 country.

Mengjia QianInstitute of Clinical Science, Zhongshan Hospital, Fudan University, Shanghai, China.
Bijun ZhuInstitute of Clinical Science, Zhongshan Hospital, Fudan University, Shanghai, China.
Yanxia ZhanDepartment of Hematology, Zhongshan Hospital, Fudan University, Shanghai, China.
Lingyan WangInstitute of Clinical Science, Zhongshan Hospital, Fudan University, Shanghai, China.
Qi ShenInstitute of Clinical Science, Zhongshan Hospital, Fudan University, Shanghai, China.
Miaomiao ZhangInstitute of Clinical Science, Zhongshan Hospital, Fudan University, Shanghai, China.
Lei YueInstitute of Clinical Science, Zhongshan Hospital, Fudan University, Shanghai, China.
Duojiao WuCenter for Tumor Diagnosis & Therapy, Jinshan Hospital, Fudan University, Shanghai, China.
Hao ChenDepartment of Thoracic Surgery, Zhongshan Hospital Xuhui Branch, Fudan University, Shanghai, China.
Xiangdong WangInstitute of Clinical Science, Zhongshan Hospital, Fudan University, Shanghai, China.
Yunfeng ChengInstitute of Clinical Science, Zhongshan Hospital, Fudan University, Shanghai, China.
Fudan University · CNZhongshan Hospital · CNJinshan Hospital of Fudan University · CNSun Yat-sen University · CNThe First Affiliated Hospital, Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Metagenomics next-generation sequencing (mNGS) has been increasingly used in the clinic, which provides a powerful tool for the etiological diagnosis of infectious diseases. Precise treatment can be carried out according to the positive mNGS results. However, the role of negative results of mNGS remains poorly defined in clinical practice. Methods: The results of 1,021 samples from patients who received the mNGS test at Zhongshan Hospital, Fudan University, between January 2019 and December 2019 were analyzed. Results: There were 308 samples (30.17%) of negative results included in the current study. The top 2 types of negative samples were blood (130/308) and tissue (63/308), which also accounted for the highest negative proportion in diseases. Sputum and bronchoalveolar lavage fluid (BALF) were more likely to have positive results. In false-negative results (defined as negative in mNGS test but reported positive in other sample types or assays), 118 samples were found when compared to regular microbiological assays. The negative predictive value (NPV) of mNGS was 95.79% [95%CI, 93.8%-97.8%] as compared to culture and smear. Conclusions: The present data indicate that when the mNGS test is negative, the negative prediction accuracy rate of the original specimen is significant. However, other laboratory assays results and clinical presentations should always be carefully considered prior to drawing a diagnosis.

Indexed as

Communicable DiseasesMetagenomicsHigh-Throughput Nucleotide SequencingHumansNegative ResultsSensitivity and Specificityclinical practicefalse negativemetagenomics next-generation sequencing (mNGS)sample typetrue negative

Identifiers

PMID35651750
PMCPMC9149223
OpenAlexW4280621191

What OpenQuestion holds

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LicenceCC BY
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.