Evidence map›Paper›PMID 31792602›Full record

ArticleLung2020

The CALIPER-Revised Version of the Composite Physiologic Index is a Better Predictor of Survival in IPF than the Original Version.

Karishma S Hosein, Gianluigi Sergiacomi, Maurizio Zompatori, Marco Mura

Registry-linked trialAbstract read
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In one paragraph

Article in Lung, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02632123 (Validation of the Risk Stratification Score in Idiopathic Pulmonary Fibrosis), which is not on this map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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.

NCT02632123 completednot on this map

Validation of the Risk Stratification Score in Idiopathic Pulmonary Fibrosis

TypeobservationalSponsorLondon Health Sciences Centre Research Institute OR Lawson Research Institute of St. Joseph'sRan2015 to 2024Enrolled260ConditionsIdiopathic Pulmonary Fibrosis
3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
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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

4 authors.

Karishma S HoseinDivision of Respirology, Department of Medicine, Western University, London, ON, Canada.
Gianluigi SergiacomiDiagnostica Per Immagini e Radiologia Interventistica, Policlinico Tor Vergata, University of Rome "Tor Vergata", Rome, Italy.
Maurizio ZompatoriRadiologia, MultiMedica Group, I.R.C.C.S. San Giuseppe Hospital, Milan, Italy.
Marco MuraDivision of Respirology, Department of Medicine, Western University, London, ON, Canada. marco.mura@lhsc.on.ca.ORCID 0000-0002-2159-7083

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

CALIPER is a computer-based quantitative algorithm to accurately characterize and quantify pulmonary fibrosis, and a revised version of composite physiologic index (CPI) has been developed against this new algorithm. The prognostic capabilities of the original and CALIPER-revised versions of CPI were compared in a cohort of 185 patients with IPF prospectively followed in 2 centers. CALIPER-revised CPI was a significant risk factor towards lung transplant (LTx)-free survival, with enhanced hazard ratio (5.68) compared to the original CPI (5.36). Accuracy of LTx-free survival was substantially improved with CALIPER-revised CPI (area under the curve [AUC] 0.75 vs. 0.66), with much better specificity (83% vs. 55%). Six-month changes of CALIPER-revised CPI predicted survival significantly (AUC 0.65). CALIPER-revised CPI is a better predictor of LTx-free survival in patients with IPF. Since CALIPER technology is not available to all centers, this simple and easy to obtain tool may be used to guide management decisions in IPF.

Indexed as

AdultAgedAged, 80 and overClinical Decision RulesFemaleForced Expiratory VolumeHumansIdiopathic Pulmonary FibrosisLung TransplantationMaleMiddle AgedPulmonary Diffusing CapacitySurvival RateVital CapacityCALIPERCPIIdiopathic pulmonary fibrosisPrognosisSurvival

Identifiers

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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.