ArticleFrontiers in cellular and infection microbiology2022
Clinical diagnosis and etiology of patients with
Article in Frontiers in cellular and infection microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.
- Clinical features and prognostic predictors of C. Psittaci Pneumonia: a systematic review and individual patient meta-analysis.BMC pulmonary medicine · 2025Pooled it
- Rapid diagnosis ofExperimental and therapeutic medicine · 2026Article
- Rapid detection of Chlamydia Psittaci by isothermal recombinase polymerase amplification assays.Poultry science · 2026Article
- A novel risk stratification model based on creatine kinase and direct bilirubin for identifying severe Chlamydia psittaci pneumonia: a double-center, hypothesis-generating retrospective cohort study.BMC infectious diseases · 2026Article
- Observational
- From models to medicine: systematic development and evaluation of animal models forFrontiers in immunology · 2026Review
- Antimicrobial Management of SevereInfection and drug resistance · 2026Review
- Clinical Characteristics and Machine Learning-Based Severity Classification ofInfection and drug resistance · 2026Article
- Case Report: Coinfection ofFrontiers in medicine · 2026Article
- Clinical characterization ofFrontiers in medicine · 2026Article
- Clinical characteristics of Chlamydia psittaci pneumonia: a single-center, retrospective study over 5 years.BMC infectious diseases · 2025Article
- Integrating DNA and RNA sequencing for enhanced pathogen detection in respiratory infections.Journal of translational medicine · 2025Article
- A retrospective analysis comparing metagenomic next-generation sequencing with conventional microbiology testing for the identification of pathogens in patients with severe infections.Frontiers in cellular and infection microbiology · 2025Article
- Clinical Characteristics and Predicting Disease Severity in Chlamydia psittaci Infection Based on Metagenomic Next-Generation Sequencing.Infection and drug resistance · 2025Article
- Review
- Distinction of clinical features and microbiological methods betweenAnnals of medicine · 2024Article
- Sequencing Methods to Study the Microbiome with Antibiotic Resistance Genes in Patients with Pulmonary Infections.Journal of microbiology and biotechnology · 2024Article
- Article
- Pneumonia Caused byInternational medical case reports journal · 2024Article
- The clinical importance of metagenomic next-generation sequencing in detecting disease-causing microorganisms in cases of sepsis acquired in the community or hospital setting.Frontiers in microbiology · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The incidence of severe
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.