Evidence map›Paper›PMID 33145066›Full record

ArticleJournal of thoracic disease2020

Comparison of the next-generation sequencing (NGS) technology with culture methods in the diagnosis of bacterial and fungal infections.

Peixin Chen, Wenwen Sun, Yayi He

Open access · diamondAbstract read
In one paragraph

Article in Journal of thoracic disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 17% 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

39 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 citations in OpenAlex.

  1. Pooled it
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  13. A rareFrontiers in cellular and infection microbiology · 2025
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  15. The shoulder microbiome: a systematic review and meta analysis.JSES reviews, reports, and techniques · 2024
    Review
  16. Fungal lung disease.The European respiratory journal · 2024
    Review
  17. Review
  18. 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

3 authors at 2 institutions in 1 country.

Peixin ChenDepartment of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University Medical School Cancer Institute, Tongji University School of Medicine, Shanghai, China.
Wenwen SunTuberculosis Department, Shanghai Pulmonary Hospital, Shanghai, China.
Yayi HeDepartment of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University Medical School Cancer Institute, Tongji University School of Medicine, Shanghai, China.
Tongji University · CNShanghai Pulmonary Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBacterial and fungal infections that caused by various kinds of pathogens are frequently-occurring disease all over the world. To overcome the shortcomings of traditional culture method, we have adapted next-generation sequencing (NGS) technology to identify pathogens.

methodsIn this study, clinical samples from 20 patients pre-diagnosed with bacterial and fungal infections in the Shanghai Pulmonary Hospital of Tongji University, China, were investigated retrospectively to compare the NGS with conventional "gold standard" culture methods.

resultsThe detection rates of bacterial or fungal infections were 95.0% (19/20) by NGS and 60.0% (12/20) by culture method. There was a significant difference between the results of NGS and traditional culture method by using McNemar's χ

conclusionsNGS, as an emerging diagnostic technology, shows outstanding advantages in the diagnosis of bacterial and fungal infections, and optimizes the treatment of infectious diseases. The clinical application and future development of NGS technology are worthy of expectation.

Indexed as

bacterial and fungal infectionsculture methodsdiagnosisNext-generation sequencing technology (NGS technology)

Identifiers

PMID33145066
PMCPMC7578456
OpenAlexW3046922458

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.