Evidence map›Paper›PMID 37367577›Full record

ArticleJournal of fungi (Basel, Switzerland)2023

Differentiating Lung Nodules Due to

Michael W Peterson, Ratnali Jain, Kurt Hildebrandt, William Keith Carson, Mohamed A Fayed

Open access · goldAbstract read
In one paragraph

Article in Journal of fungi (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Overview of the Current Challenges in Pulmonary Coccidioidomycosis.Journal of fungi (Basel, Switzerland) · 2024
    Review
  5. 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

5 authors at 2 institutions in 1 country.

Michael W PetersonFresno Department of Medicine, University of California (San Francisco), San Francisco, CA 93701, USA.
Ratnali JainFresno Department of Medicine, University of California (San Francisco), San Francisco, CA 93701, USA.ORCID 0000-0002-6003-2560
Kurt HildebrandtCommunity Medical Imaging Radiology Group, Fresno, CA 93721, USA.
William Keith CarsonCommunity Medical Imaging Radiology Group, Fresno, CA 93721, USA.
Mohamed A FayedFresno Department of Medicine, University of California (San Francisco), San Francisco, CA 93701, USA.ORCID 0000-0001-6474-1682
University of California, San Francisco · USCommunity Regional Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoccidioidomycosis (cocci) is an endemic fungal disease that can cause asymptomatic or post-symptomatic lung nodules which are visible on chest CT scanning. Lung nodules are common and can represent early lung cancer. Differentiating lung nodules due to cocci from those due to lung cancer can be difficult and lead to invasive and expensive evaluations. MATERIALS AND

methodsWe identified 302 patients with biopsy-proven cocci or bronchogenic carcinoma seen in our multidisciplinary nodule clinic. Two experienced radiologists who were blinded to the diagnosis read the chest CT scans and identified radiographic characteristics to determine their utility in differentiating lung cancer nodules from those due to cocci.

resultsUsing univariate analysis, we identified several radiographic findings that differed between lung cancer and cocci infection. We then entered these variables along with age and gender into a multivariate model and found that age, nodule diameter, nodule cavitation, presence of satellite nodules and radiographic presence of chronic lung disease differed significantly between the two diagnoses. Three findings, cavitary nodules, satellite nodules and chronic lung disease, have sufficient discrimination to potentially be useful in clinical decision-making.

conclusionsCareful evaluation of the three obtained radiographic findings can significantly improve our ability to differentiate benign coccidioidomycosis infection from lung cancer in an endemic region for the fungal disease. Using these data may significantly reduce the cost and risk associated with distinguishing the cause of lung nodules in these patients by preventing unnecessary invasive studies.

Indexed as

chest CT scancocci noduleincidental nodulelung cancerlung cancer screeninglung nodulepulmonary coccidioidomycosisvalley fever

Identifiers

PMID37367577
PMCPMC10302563
OpenAlexW4379143067

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.