Evidence map›Paper›PMID 31182037›Full record

ArticleBMC infectious diseases2019

Use of nested PCR for the detection of trichomonads in bronchoalveolar lavage fluid.

Chao Lin, Furong Ying, Yanan Lai, Xiaolong Li, Xiangyang Xue, Tieli Zhou, Dongwei Hu

Abstract read
In one paragraph

Article in BMC infectious diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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.

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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Tropical medicine and infectious disease · 2023
    Article
  7. Pyopneumothorax Caused byInfection and drug resistance · 2022
    Article
  8. Sporadic isolation ofParasitology · 2021
    Article
  9. 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

7 authors.

Chao LinThe First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang Province, China.
Furong YingThe First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang Province, China.
Yanan LaiThe First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang Province, China.
Xiaolong LiThe First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang Province, China.
Xiangyang XueWenzhou Medical University, Wenzhou, 325000, Zhejiang Province, China.
Tieli ZhouThe First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang Province, China. wyztli@163.com.
Dongwei HuThe First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang Province, China. kexianboy@163.com.ORCID http://orcid.org/0000-0003-4995-1029

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe methods routinely used to detect trichomonads in the lungs are not sensitive enough, and an effective method is urgently needed.

methodPrimers were first designed to match the conserved area of the 18S rRNA gene of trichomonads. Then, nested PCR was carried out to detect trichomonads in bronchoalveolar lavage fluid (BALF). Finally, all positive specimens were subjected to DNA sequencing and phylogenetic analysis.

resultsAmong 115 bronchoalveolar lavage fluid samples, ten samples tested positive in nested PCR (10/115), while no samples were positive in wet mount microscopy (0/115) (P < 0.01). Among the ten positive specimens, two were identified as Tetratrichomonas spp. and the other eight as Trichomonas tenax in phylogenetic analysis.

conclusionsNested PCR is an effective way to detect trichomonads in bronchoalveolar lavage fluid.

Indexed as

Bronchoalveolar Lavage FluidDNAHumansPhylogenyPolymerase Chain ReactionSequence Analysis, DNATrichomonasTrichomonas InfectionsDNABronchoalveolar lavage fluidLungNested PCRTrichomonad

Identifiers

PMID31182037
PMCPMC6558733

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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.