Evidence map›Paper›PMID 35088546›Full record

ArticleESC heart failure2022

Inaccurate recognition of own comorbidities is associated with poor prognosis in elderly patients with heart failure.

Daichi Maeda, Yuya Matsue, Nobuyuki Kagiyama, Kentaro Jujo, Kazuya Saito, Kentaro Kamiya, Hiroshi Saito, Yuki Ogasahara, Emi Maekawa, Masaaki Konishi and 16 more

Open access · goldAbstract read
In one paragraph

Article in ESC heart failure, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

5 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. 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

26 authors at 17 institutions in 2 countries.

Daichi MaedaDepartment of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan.
Yuya MatsueDepartment of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan.ORCID 0000-0003-2456-8525
Nobuyuki KagiyamaDepartment of Cardiology, The Sakakibara Heart Institute of Okayama, Okayama, Japan.
Kentaro JujoDepartment of Cardiology, Nishiarai Heart Center Hospital, Tokyo, Japan.
Kazuya SaitoDepartment of Rehabilitation, The Sakakibara Heart Institute of Okayama, Okayama, Japan.
Kentaro KamiyaDepartment of Rehabilitation, School of Allied Health Sciences, Kitasato University, Sagamihara, Japan.
Hiroshi SaitoDepartment of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan.
Yuki OgasaharaDepartment of Nursing, The Sakakibara Heart Institute of Okayama, Okayama, Japan.
Emi MaekawaDepartment of Cardiovascular Medicine, Kitasato University School of Medicine, Sagamihara, Japan.
Masaaki KonishiDivision of Cardiology, Yokohama City University Medical Center, Yokohama, Japan.
Takeshi KitaiDepartment of Cardiovascular Medicine, National Cerebral and Cardiovascular Center, Osaka, Japan.
Kentaro IwataDepartment of Rehabilitation, Kobe City Medical Center General Hospital, Kobe, Japan.
Hiroshi WadaDepartment of Cardiovascular Medicine, Saitama Medical Center, Jichi Medical University, Saitama, Japan.
Masaru HikiDepartment of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan.
Taishi DotareDepartment of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan.
Tsutomu SunayamaDepartment of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan.
Takatoshi KasaiDepartment of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan.
Hirofumi NagamatsuDepartment of Cardiology, Tokai University School of Medicine, Isehara, Japan.
Tetsuya OzawaDepartment of Rehabilitation, Odawara Municipal Hospital, Odawara, Japan.
Katsuya IzawaDepartment of Rehabilitation, Kasukabe Chuo General Hospital, Kasukabe, Japan.
Shuhei YamamotoDepartment of Rehabilitation, Shinshu University Hospital, Matsumoto, Japan.
Naoki AizawaDepartment of Cardiovascular Medicine, Nephrology and Neurology, University of the Ryukyus, Okinawa, Japan.
Ryusuke YonezawaRehabilitation Center, Kitasato University Medical Center, Kitamoto, Japan.
Kazuhiro OkaDepartment of Rehabilitation, Saitama Citizens Medical Center, Saitama, Japan.
Shin-Ichi MomomuraSaitama Citizens Medical Center, Saitama, Japan.
Tohru MinaminoDepartment of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan.
Juntendo University · JPKitasato University · JPSakakibara Hospital · JPAvera Heart Hospital · USCitizen (Japan) · JPHiroshima City Asa Citizens Hospital · JPJapan Agency for Medical Research and Development · JPJichi Medical University · JPKitasato University Medical Center · JPKobe City Medical Center General Hospital · JPNational Cerebral and Cardiovascular Center · JPOdawara Municipal Hospital · JPSaitama Prefectural Kasukabe Special Support School · JPShinshu University Hospital · JPTokai University · JPUniversity of the Ryukyus · JPYokohama City University Medical Center · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsA patient's understanding of his or her own comorbidities is part of the recommended patient education for those with heart failure. The accuracy of patients' understanding of their comorbidities and its prognostic impact have not been reported. METHODS AND

resultsPatients hospitalized for heart failure (n = 1234) aged ≥65 years (mean age: 80.1 ± 7.7 years; 531 females) completed a questionnaire regarding their diagnoses of diabetes, malignancy, stroke, hypertension, chronic obstructive pulmonary disease (COPD), and coronary artery disease (CAD). The patients were categorized into three groups based on the number of agreements between self-reported comorbidities and provider-reported comorbidities: low (1-2, n = 19); fair (3-4, n = 376); and high (5-6, n = 839) agreement groups. The primary outcome was a composite of all-cause mortality or heart failure rehospitalization at 1 year. The low agreement group had more comorbidities and a higher prevalence of a history of heart failure. The agreement was good for diabetes (κ = 0.73), moderate for malignancy (κ = 0.56) and stroke (κ = 0.50), and poor-to-fair for hypertension (κ = 0.33), COPD (κ = 0.25), and CAD (κ = 0.30). The fair and low agreement groups had poorer outcomes than the good agreement group [fair agreement group: hazard ratio (HR): 1.25; 95% confidence interval (CI): 1.01-1.56; P = 0.041; low agreement group: HR: 2.74: 95% CI: 1.40-5.35; P = 0.003].

conclusionsThe ability to recognize their own comorbidities among older patients with heart failure was low. Patients with less accurate recognition of their comorbidities may be at higher risk for a composite of all-cause mortality or heart failure rehospitalization.

Indexed as

Heart FailurePulmonary Disease, Chronic ObstructiveAgedAged, 80 and overComorbidityFemaleHumansMalePrognosisStroke VolumeAcute heart failureAgreementComorbiditiesElderlyPrognosisQuestionnaire

Identifiers

PMID35088546
PMCPMC8934983
OpenAlexW4210528886

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.