Evidence map›Paper›PMID 39891076›Full record

SynthesisBMC pulmonary medicine2025

Clinical features and prognostic predictors of C. Psittaci Pneumonia: a systematic review and individual patient meta-analysis.

Qingqing Jia, Jibo Sun, Dongguang Wang, Jiao Xu, Xiu Li, Shijie Zhang, Lian Wang, Sitong Liu, Xiang Tong, Hong Fan

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in BMC pulmonary medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. Article
  5. A case of psittacosis pneumonia complicated by rhabdomyolysis.World journal of emergency medicine · 2026
    Article
  6. Review
  7. Antimicrobial Management of SevereInfection and drug resistance · 2026
    Review
  8. Article
  9. Article
  10. Liver Function Abnormalities in Patients withInfection and drug resistance · 2025
    Article
  11. Clinical characteristics ofFrontiers in medicine · 2025
    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.

Qingqing Jia *Department of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China.
Jibo Sun *Department of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China.
Dongguang WangDepartment of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China.
Jiao XuWest China Hospital, General Practice Medical Center, Sichuan University, Chengdu, 610041, China.
Xiu LiDepartment of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China.
Shijie ZhangDepartment of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China.
Lian WangDepartment of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China.
Sitong LiuDepartment of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China.
Xiang TongDepartment of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China. tongxiang@scu.edu.cn.
Hong FanDepartment of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China. fanhong@scu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe clinical presentations and prognostic indicators of C. psittaci pneumonia are inadequately investigated currently. The objective of the study was to assess the clinical presentation of C. psittaci pneumonia and the risk factors for severe pneumonia, within a systematic review and individual patient meta-analysis.

methodsWe searched PubMed, CNKI, and Wanfang databases for case reports/series of proven/probable psittacosis published between 1st January 2000 and 28th February 2023, including all hospitalized individuals aged ≥ 18 years. Patient demographics, manifestations, diagnostic methods, and outcomes were summarized descriptively. Patients were divided into severe or non-severe pneumonia groups mainly according to the ATS/IDSA 2007 criteria. Prognostic predictors for severe C. psittaci pneumonia were identified using multivariate logistic regression.

results3062 articles of 196 (566 individual patient cases) were included in the final analysis. Patients with chronic cardiovascular disease face a significantly elevated risk of developing severe C. psittaci pneumonia (adjusted odds ratio (aOR) 2.63; 95% confidence interval (CI) 1.05-6.59; P = 0.039). Symptoms including dyspnea (aOR 4.88; 95% CI 3.19-7.46; P < 0.001), neuropsychiatric symptoms (aOR 3.58; 95% CI 2.05-6.28; P < 0.001), gastrointestinal symptoms (aOR 1.76; 95% CI 1.10-2.80; P = 0.018), or the presence of multilobar infiltrates on imaging (aOR 3.27; 95% CI 2.11-5.06; P < 0.001) upon admission frequently serve as indicators of severe pneumonia.

conclusionsChronic cardiovascular disease increases susceptibility to severe C. psittaci pneumonia. The presence of dyspnea, neuropsychiatric symptoms, gastrointestinal symptoms, and multilobar infiltrates upon admission merits clinicians' attention, advocating for timely sample submission for metagenomic next-generation sequencing (mNGS) to ascertain the etiology.

Indexed as

Chlamydophila psittaciPsittacosisCardiovascular DiseasesDyspneaHumansPrognosisRisk FactorsSeverity of Illness IndexC. Psittaci pneumoniaIPD meta-analysismNGSPresentationsPrognostic predictors

Identifiers

PMID39891076
PMCPMC11786579

What OpenQuestion holds

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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.