Evidence map›Paper›PMID 33693260›Full record

ArticleCirculation reports2020

Characteristics and Outcomes of Super-Elderly Patients (Aged ≥90 Years) Hospitalized for Heart Failure - Analysis of a Nationwide Inpatient Database.

Hidehiro Kaneko, Hidetaka Itoh, Haruki Yotsumoto, Hiroyuki Kiriyama, Tatsuya Kamon, Katsuhito Fujiu, Kojiro Morita, Nobuaki Michihata, Taisuke Jo, Hiroyuki Morita and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Circulation reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.5field-weighted citation impact, top 9% 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

15 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Article
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  4. Article
  5. Article
  6. Article
  7. A machine-learning-based prediction of non-home discharge among acute heart failure patients.Clinical research in cardiology : official journal of the German Cardiac Society · 2024
    Observational
  8. Article
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  12. Review
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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

12 authors at 2 institutions in 1 country.

Hidehiro Kaneko *Department of Cardiovascular Medicine, The University of Tokyo Tokyo Japan.
Hidetaka Itoh *Department of Cardiovascular Medicine, The University of Tokyo Tokyo Japan.
Haruki YotsumotoDepartment of Cardiovascular Medicine, The University of Tokyo Tokyo Japan.
Hiroyuki KiriyamaDepartment of Cardiovascular Medicine, The University of Tokyo Tokyo Japan.
Tatsuya KamonDepartment of Cardiovascular Medicine, The University of Tokyo Tokyo Japan.
Katsuhito FujiuDepartment of Cardiovascular Medicine, The University of Tokyo Tokyo Japan.
Kojiro MoritaDepartment of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo Tokyo Japan.
Nobuaki MichihataDepartment of Health Services Research, The University of Tokyo Tokyo Japan.
Taisuke JoDepartment of Health Services Research, The University of Tokyo Tokyo Japan.
Hiroyuki MoritaDepartment of Cardiovascular Medicine, The University of Tokyo Tokyo Japan.
Hideo YasunagaDepartment of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo Tokyo Japan.
Issei KomuroDepartment of Cardiovascular Medicine, The University of Tokyo Tokyo Japan.
The University of Tokyo · JPUniversity of Tsukuba · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

ElderlyEpidemiologyHeart failureOutcomesSuper-elderly

Identifiers

PMID33693260
PMCPMC7819647
OpenAlexW3039492251

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.