Evidence map›Paper›PMID 31240390›Full record

ArticleLung2019

Utility of Coagulation Markers for the Prediction of Rapidly Progressive Interstitial Lung Disease in Patients with Dermatomyositis.

Tomoya Sagawa, Takashi Kida, Tohru Inaba, Isao Yokota, Risa Sagawa, Akiko Kasahara, Shunya Kaneshita, Takuya Inoue, Hidetake Nagahara, Kazuki Fujioka and 3 more

Abstract read
PubMed Publisher
In one paragraph

Article in Lung, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 2 pooled it
0.3field-weighted citation impact, top 38% 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

3 citing papers in PubMed, 2 syntheses or guidelines pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. 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

13 authors at 2 institutions in 1 country.

Tomoya SagawaInflammation and Immunology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465, Kajii-cho, Kawaramachi-Hirokoji, Kamigyo-ku, Kyoto, 602-8566, Japan.
Takashi KidaInflammation and Immunology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465, Kajii-cho, Kawaramachi-Hirokoji, Kamigyo-ku, Kyoto, 602-8566, Japan.
Tohru InabaDepartment of Infection Control and Laboratory Medicine, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465, Kajii-cho, Kawaramachi-Hirokoji, Kamigyo-ku, Kyoto, 602-8566, Japan.
Isao YokotaDepartment of Biostatistics, Graduate School of Medicine, Hokkaido University, Kita 15, Nishi 7, Kita-ku, Sapporo, 060-8638, Japan.
Risa SagawaInflammation and Immunology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465, Kajii-cho, Kawaramachi-Hirokoji, Kamigyo-ku, Kyoto, 602-8566, Japan.
Akiko KasaharaInflammation and Immunology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465, Kajii-cho, Kawaramachi-Hirokoji, Kamigyo-ku, Kyoto, 602-8566, Japan.
Shunya KaneshitaInflammation and Immunology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465, Kajii-cho, Kawaramachi-Hirokoji, Kamigyo-ku, Kyoto, 602-8566, Japan.
Takuya InoueInflammation and Immunology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465, Kajii-cho, Kawaramachi-Hirokoji, Kamigyo-ku, Kyoto, 602-8566, Japan.
Hidetake NagaharaInflammation and Immunology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465, Kajii-cho, Kawaramachi-Hirokoji, Kamigyo-ku, Kyoto, 602-8566, Japan.
Kazuki FujiokaInflammation and Immunology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465, Kajii-cho, Kawaramachi-Hirokoji, Kamigyo-ku, Kyoto, 602-8566, Japan.
Makoto WadaInflammation and Immunology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465, Kajii-cho, Kawaramachi-Hirokoji, Kamigyo-ku, Kyoto, 602-8566, Japan.
Masataka KohnoInflammation and Immunology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465, Kajii-cho, Kawaramachi-Hirokoji, Kamigyo-ku, Kyoto, 602-8566, Japan.
Yutaka KawahitoInflammation and Immunology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465, Kajii-cho, Kawaramachi-Hirokoji, Kamigyo-ku, Kyoto, 602-8566, Japan. kawahity@koto.kpu-m.ac.jp.ORCID 0000-0002-3860-0488
Kyoto Prefectural University of Medicine · JPHokkaido University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to evaluate the utility of coagulation markers for the prediction of rapidly progressive interstitial lung disease (RP-ILD) in patients with dermatomyositis (DM). In this retrospective study, 29 patients with DM-associated ILD were analyzed. The number of patients with RP-ILD was 15 (52%). The baseline clinical and demographic data and laboratory markers were analyzed to identify predictive factors for RP-ILD.The univariate logistic regression analysis demonstrated that in addition to well-known laboratory markers, such as serum ferritin, KL-6, and lymphocyte counts, a prolonged activated partial thromboplastin time (aPTT) ratio at the time of DM-associated ILD diagnosis was useful for predicting RP-ILD. Moreover, the logistic regression model and receiver operating characteristic curve analysis showed that combinations of the aPTT ratio and well-known laboratory markers were significantly effective in predicting RP-ILD. This study suggested that an association between RP-ILD and the coagulation system exists.

Indexed as

Blood CoagulationPartial Thromboplastin TimeAgedBiomarkersDermatomyositisDisease ProgressionFemaleFerritinsHumansLung Diseases, InterstitialLymphocyte CountMaleMiddle AgedMucin-1Predictive Value of TestsRetrospective StudiesBiomarkersFerritinsMUC1 protein, humanMucin-1Activated partial thromboplastin timeDermatomyositisInterstitial lung diseaseRapidly progressive interstitial lung disease

Identifiers

PMID31240390
OpenAlexW2954582239

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.