Evidence map›Paper›PMID 36566029›Full record

ReviewRespiratory care2023

Radiographic Distribution as a Diagnostic Clue in Pulmonary Disease.

Abhishek Bhardwaj, Subha Ghosh, James K Stoller

Abstract readReview
In one paragraph

Review in Respiratory care, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Abhishek BhardwajDepartment of Pulmonary and Critical Care Medicine, Respiratory Institute, Cleveland Clinic, Cleveland, Ohio.
Subha GhoshDepartment of Diagnostic Radiology, Cleveland Clinic, Cleveland, Ohio.
James K StollerDepartment of Pulmonary and Critical Care Medicine, Respiratory Institute, Cleveland Clinic, Cleveland, Ohio; Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, Ohio; and Education Institute, Cleveland Clinic, Cleveland, Ohio. stollej@ccf.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Because some disease processes produce radiographic abnormalities that occur in characteristic distributions in the chest, classifying the position and appearance of these suggestive features and the underlying diseases provides a tool by which diagnostic accuracy might be improved. The goal of this review is to offer to the chest clinician a taxonomy of these disease entities that can produce characteristic chest radiographic distributions. These radiographic distributions often reflect anatomic or physiologic conditions that drive the radiographic appearance; for example, foramen of Morgagni diaphragmatic hernias most commonly present in the right ventral chest, consistent with the anatomic location of the diaphragmatic foramen. This taxonomy includes 3 distributional categories: (1) upper versus lower lung zone-predominant processes, (2) central versus peripheral processes, and (3) processes with distinctive focal locations, eg, "photonegative appearance" as in chronic eosinophilic pneumonia. It is hoped that this taxonomy aids the chest clinician in generating and streamlining a differential diagnosis and in ascertaining the specific cause of diseases with radiographic abnormalities.

Indexed as

Hernias, Diaphragmatic, CongenitalLung DiseasesDiagnosis, DifferentialDiaphragmHumansRadiographyCT chestdistributionimagingpulmonary diseaseradiograph

Identifiers

PMID36566029
PMCPMC9993512

What OpenQuestion holds

Textmetadata
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.