Evidence map›Paper›PMID 33113911›Full record

ArticleJournal of clinical medicine2020

Derivation and Validation of Clinical Prediction Models for Rapid Risk Stratification for Time-Sensitive Management for Acute Heart Failure.

Yasuyuki Shiraishi, Shun Kohsaka, Takayuki Abe, Toshiyuki Nagai, Ayumi Goda, Yosuke Nishihata, Yuji Nagatomo, Mike Saji, Yuichi Toyosaki, Makoto Takei and 6 more

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 25% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

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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

16 authors at 10 institutions in 1 country.

Yasuyuki ShiraishiDepartment of Cardiology, Keio University School of Medicine, Tokyo 160-8582, Japan.ORCID 0000-0001-8788-1186
Shun KohsakaDepartment of Cardiology, Keio University School of Medicine, Tokyo 160-8582, Japan.ORCID 0000-0003-3779-2972
Takayuki AbeBiostatistics, Clinical and Translational Research Center, Keio University School of Medicine, Tokyo 160-8582, Japan.
Toshiyuki NagaiDepartment of Cardiovascular Medicine, National Cerebral and Cardiovascular Center, Osaka 565-8565, Japan.
Ayumi GodaDepartment of Cardiovascular Medicine, Kyorin University School of Medicine, Tokyo 181-8611, Japan.
Yosuke NishihataDepartment of Cardiology, St. Luke's International Hospital, Tokyo 104-8560, Japan.
Yuji NagatomoDepartment of Cardiology, National Defense Medical College Hospital, Tokorozawa 359-8513, Japan.
Mike SajiDepartment of Cardiology, Sakakibara Heart Institute, Tokyo 183-0003, Japan.ORCID 0000-0003-2057-109X
Yuichi ToyosakiDepartment of Cardiology, Saitama Medical University International Medical Center, Saitama 350-1298, Japan.
Makoto TakeiDepartment of Cardiology, Tokyo Saiseikai Central Hospital, Tokyo 108-0073, Japan.
Takeshi KitaiDepartment of Cardiovascular Medicine, Kobe City Medical Center General Hospital, Kobe 650-0047, Japan.ORCID 0000-0003-2416-5865
Takashi KohnoDepartment of Cardiovascular Medicine, Kyorin University School of Medicine, Tokyo 181-8611, Japan.
Keiichi FukudaDepartment of Cardiology, Keio University School of Medicine, Tokyo 160-8582, Japan.
Yuya MatsueDepartment of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, Tokyo 113-8421, Japan.
Toshihisa AnzaiDepartment of Cardiovascular Medicine, National Cerebral and Cardiovascular Center, Osaka 565-8565, Japan.
Tsutomu YoshikawaDepartment of Cardiology, Sakakibara Heart Institute, Tokyo 183-0003, Japan.
Keio University · JPHokkaido University · JPKyorin University · JPSakakibara Hospital · JPJuntendo University · JPKobe City Medical Center General Hospital · JPNational Defense Medical College Hospital · JPSaiseikai Central Hospital · JPSaitama Medical University · JPSt. Luke's International Hospital · JP

Funding

a grant from the Japan Agency for Medical Research and Development 201439013Ca Grant-in-Aid for Clinical Research from the Japanese Circulation Society 2019a Grant-in-Aid for Scientific Research JPSS KAKENHI, 23591062, 26461088, 17K09526a Grant-in-Aid for Young Scientists 18K15860a Grant-in-Aid from the Japanese Ministry of Health, Labor and Welfare H29-Refractory Disease-034a Health Labour Science Research Grant 14528506Sakakibara Clinical Research Grant for the Promotion of Science 2012 to 2019
6 · The paper itself

Abstract

Early and rapid risk stratification of patients with acute heart failure (AHF) is crucial for appropriate patient triage and outcome improvements. We aimed to develop an easy-to-use, in-hospital mortality risk prediction tool based on data collected from AHF patients at their initial presentation. Consecutive patients' data pertaining to 2006-2017 were extracted from the West Tokyo Heart Failure (WET-HF) and National Cerebral and Cardiovascular Center Acute Decompensated Heart Failure (NaDEF) registries (

Indexed as

acute heart failurecalibrationdiscriminationin-hospital mortalityprediction modelvalidation

Identifiers

PMID33113911
PMCPMC7690673
OpenAlexW3094278436

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.