Evidence map›Paper›PMID 38012564›Full record

ArticleBMC infectious diseases2023

Relationship between clinical features and droplet digital PCR copy number in non-HIV patients with pneumocystis pneumonia.

Wenjie Bian, Yu Xie, Ying Shang, Lili Zhao, Zhengwu Yang, Xinqian Ma, Yukun He, Wenyi Yu, Wen Xi, Donghong Yang and 4 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.1field-weighted citation impact, top 11% 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, 10 citations in OpenAlex.

  1. Article
  2. Advances in pathogen detection ofInfectious medicine · 2025
    Review
  3. JHLT open · 2025
    Article
  4. Article
  5. Article
  6. Droplet Digital PCR Improves Detection ofInternational journal of molecular sciences · 2025
    Article
  7. Article
  8. Review
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

14 authors at 2 institutions in 1 country.

Wenjie Bian *Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, No.11, Xizhimen South Street, Beijing, China.
Yu Xie *Department of Respiratory Medicine, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Ying ShangDepartment of Respiratory and Critical Care Medicine, Peking University People's Hospital, No.11, Xizhimen South Street, Beijing, China.
Lili ZhaoDepartment of Respiratory and Critical Care Medicine, Peking University People's Hospital, No.11, Xizhimen South Street, Beijing, China.
Zhengwu YangDepartment of Respiratory and Critical Care Medicine, Peking University People's Hospital, No.11, Xizhimen South Street, Beijing, China.
Xinqian MaDepartment of Respiratory and Critical Care Medicine, Peking University People's Hospital, No.11, Xizhimen South Street, Beijing, China.
Yukun HeDepartment of Respiratory and Critical Care Medicine, Peking University People's Hospital, No.11, Xizhimen South Street, Beijing, China.
Wenyi YuDepartment of Respiratory and Critical Care Medicine, Peking University People's Hospital, No.11, Xizhimen South Street, Beijing, China.
Wen XiDepartment of Respiratory and Critical Care Medicine, Peking University People's Hospital, No.11, Xizhimen South Street, Beijing, China.
Donghong YangDepartment of Respiratory and Critical Care Medicine, Peking University People's Hospital, No.11, Xizhimen South Street, Beijing, China.
Fang WangDepartment of Respiratory and Critical Care Medicine, Peking University People's Hospital, No.11, Xizhimen South Street, Beijing, China.
Yanwen ChenDepartment of Respiratory and Critical Care Medicine, Peking University People's Hospital, No.11, Xizhimen South Street, Beijing, China.
Pihua GongDepartment of Respiratory and Critical Care Medicine, Peking University People's Hospital, No.11, Xizhimen South Street, Beijing, China. gardenia1978@163.com.
Zhancheng GaoDepartment of Respiratory and Critical Care Medicine, Peking University People's Hospital, No.11, Xizhimen South Street, Beijing, China. zcgao@bjmu.edu.cn.
Peking University · CNShanghai Jiao Tong University · CN

Funding

Evaluation of droplet digital PCR for the detection of Pneumocystis jirovecii in alveolar lavage fluid and analysis of correlation between copy number and clinical characteristics N/Athe National and Provincial Key Clinical Specialty Capacity Building Project 2020 (Department of the Respiratory Medicine) N/A
6 · The paper itself

Abstract

objectiveDroplet digital PCR (ddPCR) is a novel assay to detect pneumocystis jjrovecii (Pj) which has been defined to be more sensitive than qPCR in recent studies. We aimed to explore whether clinical features of pneumocystis pneumonia (PCP) were associated with ddPCR copy numbers of Pj.

methodsA total of 48 PCP patients were retrospectively included. Pj detection was implemented by ddPCR assay within 4 h. Bronchoalveolar fluid (BALF) samples were collected from 48 patients with molecular diagnosis as PCP via metagenomic next generation sequencing (mNGS) or quantitative PCR detection. Univariate and multivariate logistic regression were performed to screen out possible indicators for the severity of PCP. The patients were divided into two groups according to ddPCR copy numbers, and their clinical features were further analyzed.

resultsPj loading was a pro rata increase with serum (1,3)-beta-D glucan, D-dimmer, neutrophil percentage, procalcitonin and BALF polymorphonuclear leucocyte percentage, while negative correlation with albumin, PaO2/FiO2, BALF cell count, and BALF lymphocyte percentage. D-dimmer and ddPCR copy number of Pj were independent indicators for moderate/severe PCP patients with PaO2/FiO2 lower than 300. We made a ROC analysis of ddPCR copy number of Pj for PaO2/FiO2 index and grouped the patients according to the cut-off value (2.75). The high copy numbers group was characterized by higher level of inflammatory markers. Compared to low copy number group, there was lower level of the total cell count while higher level of polymorphonuclear leucocyte percentage in BALF in the high copy numbers group. Different from patients with high copy numbers, those with high copy numbers had a tendency to develop more severe complications and required advanced respiratory support.

conclusionThe scenarios of patients infected with high ddPCR copy numbers of Pj showed more adverse clinical conditions. Pj loading could reflect the severity of PCP to some extent.

Indexed as

PneumocystisPneumocystis cariniiPneumonia, PneumocystisRespiratory Distress SyndromeBronchoalveolar Lavage FluidDNA Copy Number VariationsHumansPolymerase Chain ReactionRetrospective StudiesBALFddPCR copy numbermNGSPneumocystis pneumonia

Identifiers

PMID38012564
PMCPMC10683233
OpenAlexW4389048499

What OpenQuestion holds

Textmetadata
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.