Evidence map›Paper›PMID 37528299›Full record

SynthesisEuropean radiology2023

The effect of CALIPER-derived parameters for idiopathic pulmonary fibrosis in predicting prognosis, progression, and mortality: a systematic review.

Xin-Yao Jiao, Han Song, Wei-Wu Liu, Jun-Ling Yang, Zhi-Wei Wang, Dan Yang, Sa Huang

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in European radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Xin-Yao JiaoDepartment of Radiology, The Second Hospital of Jilin University, Changchun, 130041, People's Republic of China.
Han SongDepartment of Radiology, The Second Hospital of Jilin University, Changchun, 130041, People's Republic of China.
Wei-Wu LiuDepartment of Radiology, The Second Hospital of Jilin University, Changchun, 130041, People's Republic of China.
Jun-Ling YangDepartment of Respiratory, The Second Hospital of Jilin University, Changchun, 130041, People's Republic of China.
Zhi-Wei WangDepartment of Radiology, The Second Hospital of Jilin University, Changchun, 130041, People's Republic of China.
Dan YangDepartment of Radiology, The Second Hospital of Jilin University, Changchun, 130041, People's Republic of China.
Sa HuangDepartment of Radiology, The Second Hospital of Jilin University, Changchun, 130041, People's Republic of China. huangsa@jlu.edu.cn.ORCID http://orcid.org/0000-0003-1465-7567
Second Affiliated Hospital of Jilin University · CNJilin University · CN

Funding

Jilin Province Development and Reform Commission 20210204100YYNational Key R&D program of China 2021YFC2500703
6 · The paper itself

Abstract

backgroundHigh-resolution computed tomography (HRCT), as the main tool for monitoring idiopathic pulmonary fibrosis (IPF), is characterized by subjective variability among radiologists and insensitivity to subtle changes. Recently, a few studies have aimed to decrease subjective bias by assessing the severity of IPF using computer software, i.e., Computer-Aided Lung Informatics for Pathology Evaluation and Rating (CALIPER). However, these studies had diverse research directions. In this review, we systematically assess the effect of CALIPER in the management of IPF.

methodsA systematic review was conducted through a search of published studies in PubMed, Web of Science, Cochrane, Embase, Scopus, and CNKI databases from database inception through February 28, 2022. The methodological quality would be evaluated by using Methodological Index for Non-Randomized Studies (MINORS). Narrative synthesis summarized findings by participant characteristics, study design, and associations with outcomes.

resultsTen studies were included. They evaluated the relationship between CALIPER-derived parameters and pulmonary function test (PFT) and mortality. CALIPER-derived parameters showed a significant correlation with PFT and mortality. Two studies reported that CALIPER could be used to stratify outcomes.

conclusionCALIPER-derived parameters can be used to evaluate prognosis and mortality. CALIPER-derived parameters combined with composite physiologic index (CPI) or Gender-Age-Physiology (GAP) could help clinicians implement targeted management by refining prognostic stratification. However, research has been constrained by small number of retrospective investigations and sample sizes. Therefore, it is essential to design prospective controlled studies and establish the staging system by CALIPER-derived parameters and combining them with CPI, FVC, or GAP. CLINICAL RELEVANCE STATEMENT: It is beneficial for clinic to provide objective, sensitive, and accurate indicators of disease progression. It also helps the clinic to develop individualized treatment plans based on the stage of disease progression and provides evaluation of efficacy in drug trials. KEY POINTS: • Computer-Aided Lung Informatics for Pathology Evaluation and Rating (CALIPER) is a quantitative CT analysis software that can be used to evaluate the progression of disease on CT. • The CALIPER-derived vessel-related structure shows great performance in the management of idiopathic pulmonary fibrosis. • CALIPER-derived parameters combined with composite physiologic index or Gender-Age-Physiology can be used to refine prognostic stratification.

Indexed as

Idiopathic Pulmonary FibrosisLungComputersDisease ProgressionHumansPrognosisProspective StudiesRetrospective StudiesCALIPERIdiopathic pulmonary fibrosisMortalityPrognosis

Identifiers

PMID37528299
OpenAlexW4385446934

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.