Evidence map›Paper›PMID 30991716›Full record

ArticleJournal of clinical medicine2019

Rational Use of CT-Scan for the Diagnosis of Pneumonia: Comparative Accuracy of Different Strategies.

Nicolas Garin, Christophe Marti, Sebastian Carballo, Pauline Darbellay Farhoumand, Xavier Montet, Xavier Roux, Max Scheffler, Christine Serratrice, Jacques Serratrice, Yann-Erick Claessens and 4 more

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Observational
  10. COVID-19 Detection Through Transfer Learning Using Multimodal Imaging Data.IEEE access : practical innovations, open solutions · 2020
    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

14 authors.

Nicolas GarinDepartment of Internal Medicine, Riviera-Chablais Hospitals, 1870 Monthey, Switzerland. Nicolas.Garin@hopitalrivierachablais.ch.
Christophe MartiDepartment of Internal Medicine, Geneva University Hospitals, 1205 Geneva, Switzerland. Christophe.Marti@hcuge.ch.
Sebastian CarballoDepartment of Internal Medicine, Geneva University Hospitals, 1205 Geneva, Switzerland. Sebastian.Carballo@hcuge.ch.
Pauline Darbellay FarhoumandDepartment of Internal Medicine, Geneva University Hospitals, 1205 Geneva, Switzerland. Pauline.Darbellay@hcuge.ch.
Xavier MontetFaculty of Medicine, University of Geneva, 1211 Geneva, Switzerland. Xavier.Montet@hcuge.ch.
Xavier RouxDepartment of Rehabilitation and Geriatrics, Geneva University Hospitals, 1205 Geneva, Switzerland. Xavier.Roux@hcuge.ch.
Max SchefflerDepartment of Radiology, Geneva University Hospitals, 1205 Geneva, Switzerland. Max.Scheffler@hcuge.ch.
Christine SerratriceDepartment of Rehabilitation and Geriatrics, Geneva University Hospitals, 1205 Geneva, Switzerland. Christine.Serratrice@hcuge.ch.
Jacques SerratriceDepartment of Internal Medicine, Geneva University Hospitals, 1205 Geneva, Switzerland. Jacques.Serratrice@hcuge.ch.
Yann-Erick ClaessensDepartment of Emergency Medicine, Centre Hospitalier Princesse Grace, 98000 Monaco, Monaco. ye.claessens@gmail.com.
Xavier DuvalDepartment of Infectious Disease, Bichat-Claude Bernard University Hospital, 75877 Paris, France. Xavier.Duval@aphp.fr.
Paul LoubetDepartment of Infectious Disease, Bichat-Claude Bernard University Hospital, 75877 Paris, France. Paul.Loubet@aphp.fr.
Jérôme StirnemannDepartment of Internal Medicine, Geneva University Hospitals, 1205 Geneva, Switzerland. ye.claessens@gmail.com.
Virginie PrendkiFaculty of Medicine, University of Geneva, 1211 Geneva, Switzerland. Virginie.Prendki@hcuge.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diagnosing pneumonia in emergency departments is challenging because the accuracy of symptoms, signs and laboratory tests is limited. As a confirmation test, chest X-ray has significant limitations and is outperformed by CT-scan. However, obtaining a CT-scan in all cases of suspected pneumonia has significant drawbacks. We used a cohort of 200 consecutive elderly patients admitted to the hospital for suspected pneumonia to build a simple prediction score, which was used to determine indication for performing a CT-scan. The reference diagnosis was adjudicated by experts considering all available data, including evolution until discharge and CT scan in all patients. Results were externally validated in a second cohort of 319 patients. Pneumonia was confirmed in 133 patients (67%). Area under the receiver operator curve (AUROC) of physician evaluation was 0.55 (0.46-0.64). The score incorporated four variables independently predicting confirmed pneumonia: male gender, acute cough, C-reactive protein >70 mg/L, and urea <7 mmol/L. AUROC of the score was 0.68 (95% confidence interval (CI) 0.60-0.76). When a CT-scan was obtained for patients at low or intermediate predicted risk (108 patients, 54% of the cohort), AUROC was 0.71 (0.63-0.80) and 0.69 (0.64-0.74) in the derivation and validation cohort, respectively. A simple prediction score for pneumonia had moderate accuracy and could guide the performance of a CT-scan.

Indexed as

clinical prediction modelCT-scanlower respiratory tract infection

Identifiers

PMID30991716
PMCPMC6518125

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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.