Evidence map›Paper›PMID 37725604›Full record

Observational studyPloS one2023

The clinical impact of comorbidities among patients with idiopathic pulmonary fibrosis undergoing anti-fibrotic treatment: A multicenter retrospective observational study.

Ayako Aoki, Yu Hara, Hiroaki Fujii, Kota Murohashi, Ryo Nagasawa, Yoichi Tagami, Tatsuji Enomoto, Yutaka Matsumoto, Makoto Masuda, Keisuke Watanabe and 5 more

Open access · goldAbstract readObservational StudyMulticenter Study
In one paragraph

Observational study in PloS one, 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
0.5field-weighted citation impact, top 28% 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, 2 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

15 authors at 7 institutions in 1 country.

Ayako AokiDepartment of Pulmonology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Yu HaraDepartment of Pulmonology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.ORCID 0000-0002-2574-2516
Hiroaki FujiiDepartment of Pulmonology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Kota MurohashiDepartment of Pulmonology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Ryo NagasawaDepartment of Respiratory Medicine, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Japan.
Yoichi TagamiDepartment of Pulmonology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Tatsuji EnomotoDepartment of Respiratory Medicine, Ofuna Chuo Hospital, Kamakura, Japan.
Yutaka MatsumotoDepartment of Respiratory Medicine, Yamato Municipal Hospital, Yamato, Japan.
Makoto MasudaDepartment of Respiratory Medicine, Ofuna Chuo Hospital, Kamakura, Japan.
Keisuke WatanabeDepartment of Pulmonology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.ORCID 0000-0001-9623-1492
Nobuyuki HoritaDepartment of Pulmonology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Nobuaki KobayashiDepartment of Pulmonology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Makoto KudoRespiratory Disease Center, Yokohama City University Medical Center, Yokohama, Japan.
Takashi OguraDepartment of Respiratory Medicine, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Japan.
Takeshi KanekoDepartment of Pulmonology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Yokohama City University · JPKanagawa Cardiovascular and Respiratory Center · JPFujisawa City Hospital · JPGunma Chuo Hospital · JPYamato Municipal Hospital · JPYokohama City University Medical Center · JPYokohama Minami Kyosai Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAmong patients with idiopathic pulmonary fibrosis (IPF), few studies have investigated the clinical impact of anti-fibrotic treatment (AFT) with and without comorbidities. The aim of the study was to determine whether Charlson Comorbidity Index score (CCIS) can predict the efficacy of AFT in patients with IPF.

methodsWe retrospectively assessed data extracted from the medical records of IPF patients who received anti-fibrotic agents between 2009 and 2019. The collected data included age, sex, CCIS, pulmonary function test, high-resolution computed tomography (HRCT) pattern, gender/age/physiology (GAP) score, and 3-year IPF-related events defined as the first acute exacerbation or death within 3 years after starting AFT.

resultsWe assessed 130 patients (median age, 74 years) who received nintedanib (n = 70) or pirfenidone (n = 60). Median duration of AFT was 425 days. Patients were categorized into high (≥ 3 points) and low (≤ 2 points) CCIS groups. There was no significant difference between the groups in terms of age, sex, duration of AFT, GAP score, or incidence of usual interstitial pneumonia pattern on HRCT except percentage predicted diffusion capacity of lung for carbon monoxide. Also, significant difference was not seen between the groups for 3-year IPF-related events (P = 0.75). Especially, in the low CCIS group but not the high CCIS group, the longer duration of AFT had better disease outcome.

conclusionIn the present study, we could not show any relation between CCIS and IPF disease outcomes in patients undergoing AFT, though the longer duration of AFT might be beneficial for IPF outcomes among patients with low CCIS.

Indexed as

Idiopathic Pulmonary FibrosisAgedAntifibrotic AgentsComorbidityHumansRetrospective StudiesAntifibrotic Agents

Identifiers

PMID37725604
PMCPMC10508598
OpenAlexW4386859815

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.