Evidence map›Paper›PMID 35743608›Full record

ArticleJournal of clinical medicine2022

Serum IgG4 Concentration Is a Potential Predictive Biomarker in Glucocorticoid Treatment for Idiopathic Retroperitoneal Fibrosis.

Shoichiro Mukai, Naotaka Sakamoto, Hiroaki Kakinoki, Tadamasa Shibuya, Ryosuke Moriya, Kiyoaki Nishihara, Mitsuru Noguchi, Toshitaka Shin, Naohiro Fujimoto, Tsukasa Igawa and 9 more

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 49% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

19 authors at 12 institutions in 1 country.

Shoichiro MukaiDepartment of Urology, Faculty of Medicine, University of Miyazaki, 5200 Kihara, Kiyotake-cho, Miyazaki 889-1692, Japan.
Naotaka SakamotoDepartment of Urology, National Hospital Organization Kyushu Medical Center, Fukuoka 810-8563, Japan.ORCID 0000-0001-6750-6725
Hiroaki KakinokiDepartment of Urology, Faculty of Medicine, Saga University, Saga 849-8501, Japan.
Tadamasa ShibuyaDepartment of Urology, Faculty of Medicine, Oita University, Yufu 879-5593, Japan.
Ryosuke MoriyaDepartment of Urology, School of Medicine, University of Occupational and Environmental Health, Kitakyushu 807-8555, Japan.
Kiyoaki NishiharaDepartment of Urology, Kurume University School of Medicine, Kurume 830-0011, Japan.
Mitsuru NoguchiDepartment of Urology, Faculty of Medicine, Saga University, Saga 849-8501, Japan.
Toshitaka ShinDepartment of Urology, Faculty of Medicine, Oita University, Yufu 879-5593, Japan.
Naohiro FujimotoDepartment of Urology, School of Medicine, University of Occupational and Environmental Health, Kitakyushu 807-8555, Japan.
Tsukasa IgawaDepartment of Urology, Kurume University School of Medicine, Kurume 830-0011, Japan.
Tatsu IshiiDepartment of Urology, Fukuoka University Chikushi Hospital, Chikushino 818-8502, Japan.
Nobuhiro HagaDepartment of Urology, Faculty of Medicine, Fukuoka University, Fukuoka 814-0180, Japan.
Hideki EnokidaDepartment of Urology, Faculty of Medicine, Kagoshima University, Kagoshima 890-8520, Japan.
Masatoshi EtoDepartment of Urology, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan.ORCID 0000-0002-3312-9930
Tomomi KambaDepartment of Urology, Faculty of Life Sciences, Kumamoto University, Kumamoto 860-8556, Japan.
Hideki SakaiDepartment of Urology, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki 852-8501, Japan.
Seiichi SaitoDepartment of Urology, Graduate School of Medicine, University of the Ryukyus, Nishihara 903-0215, Japan.
Naoki TeradaDepartment of Urology, Faculty of Medicine, University of Miyazaki, 5200 Kihara, Kiyotake-cho, Miyazaki 889-1692, Japan.ORCID 0000-0002-3591-1715
Toshiyuki KamotoDepartment of Urology, Faculty of Medicine, University of Miyazaki, 5200 Kihara, Kiyotake-cho, Miyazaki 889-1692, Japan.
University of Miyazaki · JPFukuoka University · JPKurume University · JPOita University · JPSaga University · JPUniversity of Occupational and Environmental Health Japan · JPKagoshima University · JPKumamoto University · JPKyushu University · JPNagasaki University · JPNational Kyushu Medical Center · JPUniversity of the Ryukyus · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate the management and outcome of idiopathic retroperitoneal fibrosis (iRPF) in Japan, and to identify its clinical biomarker.

methodsWe retrospectively analyzed 129 patients with iRPF treated between January 2008 and May 2018 at 12 university and related hospitals. Patients treated with glucocorticoid were analyzed to identify a predictive biomarker. These patients were classified into three groups according to overall effectiveness (no change: NC, complete response: CR, and partial response groups: PR), and each parameter was compared statistically.

resultsMale-female ratio was 5:1, and median age at diagnosis was 69 (33-86) years. Smoking history was reported in 59.6% of the patients. As treatment, 95 patients received glucocorticoid therapy with an overall response rate of 84%. As a result, serum concentration of IgG4 was significantly decreased in NC group compared with the other two groups (56.6 mg/dL vs. 255 mg/dL, 206 mg/dL,

conclusionsPre-treatment serum IgG4 concentration may have potential as a predictive biomarker of steroid treatment.

Indexed as

glucocorticoididiopathic retroperitoneal fibrosisimmunoglobulin G4predictive biomarker

Identifiers

PMID35743608
PMCPMC9224541
OpenAlexW4283207352

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.