Evidence map›Paper›PMID 36140529›Full record

ArticleDiagnostics (Basel, Switzerland)2022

Application of High-Throughput Sequencing Technology in the Pathogen Identification of Diverse Infectious Diseases in Nephrology Departments.

Yujuan Wang, Xiaoyi Hu, Lianhua Yang, Cheng Chen, Hui Cheng, Haiyun Hu, Wei Liang, Yongqing Tong, Ming Wang, Huiming Wang

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 21% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. 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

10 authors at 1 institution in 1 country.

Yujuan WangDepartment of Nephrology, Renmin Hospital of Wuhan University, Jiefang Road 238, Wuchang District, Wuhan 430060, China.
Xiaoyi HuDepartment of Nephrology, Renmin Hospital of Wuhan University, Jiefang Road 238, Wuchang District, Wuhan 430060, China.
Lianhua YangDepartment of Nephrology, Renmin Hospital of Wuhan University, Jiefang Road 238, Wuchang District, Wuhan 430060, China.
Cheng ChenDepartment of Nephrology, Renmin Hospital of Wuhan University, Jiefang Road 238, Wuchang District, Wuhan 430060, China.
Hui ChengDepartment of Nephrology, Renmin Hospital of Wuhan University, Jiefang Road 238, Wuchang District, Wuhan 430060, China.
Haiyun HuDepartment of Nephrology, Renmin Hospital of Wuhan University, Jiefang Road 238, Wuchang District, Wuhan 430060, China.
Wei LiangDepartment of Nephrology, Renmin Hospital of Wuhan University, Jiefang Road 238, Wuchang District, Wuhan 430060, China.
Yongqing TongDepartment of Clinical Laboratory, Renmin Hospital of Wuhan University, Jiefang Road 238, Wuchang District, Wuhan 430060, China.
Ming WangDepartment of Clinical Laboratory, Renmin Hospital of Wuhan University, Jiefang Road 238, Wuchang District, Wuhan 430060, China.ORCID 0000-0002-2836-1217
Huiming WangDepartment of Nephrology, Renmin Hospital of Wuhan University, Jiefang Road 238, Wuchang District, Wuhan 430060, China.ORCID 0000-0002-1706-2342
Wuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The purpose of this study was to explore the clinical applications of high-throughput sequencing (HTS) in the identification of pathogens in patients with urinary tract infection (UTI), peritoneal dialysis-associated peritonitis (PDAP), central venous catheter related blood infections (CRBIs), and lung infections in the nephrology department. Methods: Midstream urine samples from 112 patients with UTI, peritoneal fluid samples from 67 patients with PDAP, blood samples from 15 patients with CRBI, and sputum specimens from 53 patients with lung infection were collected. The HTS and ordinary culture methods were carried out in parallel to identify the pathogens in each sample. Pathogen detection positive rate and efficacy were compared between the two methods. Results: The pathogen positive detection rates of HTS in UTI, PDAP, CRBI, and lung infection were strikingly higher than those of the culture method (84.8% vs. 35.7, 71.6% vs. 23.9%, 75% vs. 46.7%, 84.9% vs. 5.7%, p < 0.05, respectively). HTS was superior to the culture method in the sensitivity of detecting bacteria, fungi, atypical pathogens, and mixed microorganisms in those infections. In patients who had empirically used antibiotics before the test being conducted, HTS still exhibited a considerably higher positive rate than the culture method (81.6% vs. 39.0%, 68.1% vs. 14.9%, 72.7% vs. 36.4%, 83.3% vs. 4.2%, p < 0.05, respectively). Conclusions: HTS is remarkably more efficient than the culture method in detecting pathogens in diverse infectious diseases in nephrology, and is particularly potential in identifying the pathogens that are unable to be identified by the common culture method, such as in cases of complex infection with specific pathogens or subclinical infection due to preemptive use of antibiotics.

Indexed as

central venous catheter related blood infectionshigh-throughput sequencinglung infectionpathogen detectionperitoneal dialysis-associated peritonitisurinary tract infection

Identifiers

PMID36140529
PMCPMC9497786
OpenAlexW4294152267

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.