Evidence map›Paper›PMID 36822633›Full record

Observational studyThe European respiratory journal2023

A predictive model for acute exacerbation of idiopathic interstitial pneumonias.

Masato Karayama, Yoichiro Aoshima, Takahito Suzuki, Kazutaka Mori, Nobuko Yoshizawa, Shintaro Ichikawa, Shinpei Kato, Koshi Yokomura, Masato Kono, Dai Hashimoto and 10 more

Open access · hybridAbstract readObservational StudyMulticenter Study
In one paragraph

Observational study in The European respiratory journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Acute exacerbation in fibrotic interstitial lung disease: an international working group report.American journal of respiratory and critical care medicine · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Observational
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors at 5 institutions in 1 country.

Masato KarayamaSecond Division, Department of Internal Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan karayama@hama-med.ac.jp.ORCID 0000-0003-0455-4070
Yoichiro AoshimaSecond Division, Department of Internal Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan.
Takahito SuzukiSecond Division, Department of Internal Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan.
Kazutaka MoriDepartment of Respiratory Medicine, Shizuoka City Shimizu Hospital, Shizuoka, Japan.
Nobuko YoshizawaDepartment of Radiology, Hamamatsu University School of Medicine, Hamamatsu, Japan.
Shintaro IchikawaDepartment of Radiology, Hamamatsu University School of Medicine, Hamamatsu, Japan.
Shinpei KatoDepartment of Respiratory Medicine, Seirei Mikatahara General Hospital, Hamamatsu, Japan.
Koshi YokomuraDepartment of Respiratory Medicine, Seirei Mikatahara General Hospital, Hamamatsu, Japan.
Masato KonoDepartment of Respiratory Medicine, Seirei Hamamatsu General Hospital, Hamamatsu, Japan.
Dai HashimotoDepartment of Respiratory Medicine, Seirei Hamamatsu General Hospital, Hamamatsu, Japan.
Yusuke InoueSecond Division, Department of Internal Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan.ORCID 0000-0001-8075-0597
Hideki YasuiSecond Division, Department of Internal Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan.
Hironao HozumiSecond Division, Department of Internal Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan.ORCID 0000-0001-5439-1543
Yuzo SuzukiSecond Division, Department of Internal Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan.ORCID 0000-0001-6154-9791
Kazuki FuruhashiSecond Division, Department of Internal Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan.
Tomoyuki FujisawaSecond Division, Department of Internal Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan.ORCID 0000-0002-8809-1781
Noriyuki EnomotoSecond Division, Department of Internal Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan.ORCID 0000-0003-3187-4264
Satoshi GoshimaDepartment of Radiology, Hamamatsu University School of Medicine, Hamamatsu, Japan.
Naoki InuiSecond Division, Department of Internal Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan.
Takafumi SudaSecond Division, Department of Internal Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan.
Hamamatsu University School of Medicine · JPSeirei Hamamatsu General Hospital · JPSeirei Mikatabara General Hospital · JPHamamatsu University · JPShizuoka City Shimizu Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcute exacerbation of idiopathic interstitial pneumonias (AE-IIPs) induces permanent pulmonary dysfunction and is potentially lethal. The unpredictable occurrence of AE-IIPs remains an important clinical issue in the management of IIPs.

methodsIn this multicentre, retrospective, observational study, a predictive score for AE-IIPs was designed using clinical factors based on multivariate Fine-Gray analysis in patients with IIPs.

resultsBased on multivariate Fine-Gray analysis in an exploratory cohort of 487 patients with IIPs, the predictive score for AE-IIPs was determined as follows: 1 point each was added for honeycombing on high-resolution computed tomography (H), age >75 years (A) and lactate dehydrogenase level >222 U·L

conclusionsThe HAL score discriminated the risk of AE-IIPs and could aid in the management of IIPs.

Indexed as

Idiopathic Interstitial PneumoniasIdiopathic Pulmonary FibrosisAgedHumansRetrospective StudiesTomography, X-Ray Computed

Identifiers

PMID36822633
PMCPMC10160800
OpenAlexW4321617855

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.