ReviewJournal of thoracic imaging2018
Pulmonary Infections in Immunocompromised Hosts: Clinical.
Review in Journal of thoracic imaging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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
11 citing papers in PubMed.
- Computed tomography imaging features of major pulmonary and extrapulmonary complications of fibrotic lung diseases.Einstein (Sao Paulo, Brazil) · 2026Review
- Multiple concurrent opportunistic infections in patient with myasthenia gravis: A case report.Virulence · 2025Article
- Comparison of the microbiome of sputum from HIV/AIDS patients using PacBio 16S rRNA sequencing and ddPCR.BMC infectious diseases · 2025Article
- Detection of pulmonary actinomycosis by metagenomic next-generation sequencing in a cancer patient receiving maintenance olaparib: A review and case report.Respiratory medicine case reports · 2024Article
- Antibiotic susceptibility and phenotypic profile ofSAGE open medicine · 2024Article
- Imaging Approach to Pulmonary Infections in the Immunocompromised Patient.The Indian journal of radiology & imaging · 2022Review
- Metagenomic next-generation sequencing for the detection of pathogenic microorganisms in patients with pulmonary infection.American journal of translational research · 2022Article
- Review
- A Nomogram Based on Comorbidities and Infection Location to Predict 30 Days Mortality of Immunocompromised Patients in ICU: A Retrospective Cohort Study.International journal of general medicine · 2021Article
- Imaging features of fungal pneumonia in haematopoietic stem cell transplant patients.Polish journal of radiology · 2021Review
- Impact of early therapeutic modality on 28-day mortality in immunocompromised patients with opportunistic pulmonary infections: a multicenter retrospective study.Therapeutic advances in respiratory diseaseArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Pulmonary infections in immunocompromised patients remain a significant contributor to mortality, morbidity, and health care-associated costs in such a vulnerable patient population. Their epidemiology is changing, set forth by new trends in immunosuppressive regimens and also prophylaxis. The host characteristics, presenting clinical symptomatology, along with radiographic patterns, have also evolved. The microbiology diagnostics are now enriched with nonculture methods for better identification of the causative pathogens. Chest imaging remains the cornerstone of the initial workup. Our article will examine the new trends in epidemiology, clinical findings, and diagnostics for immunocompromised patients with pulmonary infections (transplant recipients, neutropenic hosts, HIV-infected patients, and patients with autoimmune conditions). We will also review the differential diagnosis that most of the times includes malignancies and drug or radiation-related toxicities.
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.