Evidence map›Paper›PMID 34311559›Full record

ArticleCirculation. Heart failure2021

Disparity in the Setting of Incident Heart Failure Diagnosis.

Alexander T Sandhu, Rebecca L Tisdale, Fatima Rodriguez, Randall S Stafford, David J Maron, Tina Hernandez-Boussard, Eldrin Lewis, Paul A Heidenreich

Abstract read
In one paragraph

Article in Circulation. Heart failure, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
–field-weighted citation impact
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

39 citing papers in PubMed.

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  15. Artificial Intelligence in Diagnosis of Heart Failure.Journal of the American Heart Association · 2025
    Review
  16. Article
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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

8 authors.

Alexander T Sandhu *Division of Cardiovascular Medicine and the Cardiovascular Institute, Department of Medicine (A.T.S., F.R., D.J.M., E.L., P.A.H.), Stanford University, CA.
Rebecca L Tisdale *Veteran's Affairs Palo Alto Healthcare System, CA (R.L.T., P.A.H.).
Fatima RodriguezDivision of Cardiovascular Medicine and the Cardiovascular Institute, Department of Medicine (A.T.S., F.R., D.J.M., E.L., P.A.H.), Stanford University, CA.
Randall S StaffordStanford Prevention Research Center, Stanford University School of Medicine, CA (F.R., R.S.S., D.J.M.).
David J MaronDivision of Cardiovascular Medicine and the Cardiovascular Institute, Department of Medicine (A.T.S., F.R., D.J.M., E.L., P.A.H.), Stanford University, CA.
Tina Hernandez-BoussardDepartment of Medicine (R.S.S., T.H.-B.), and Department of Biomedical Data Sciences (T.H.-B.), Stanford University, CA.
Eldrin LewisDivision of Cardiovascular Medicine and the Cardiovascular Institute, Department of Medicine (A.T.S., F.R., D.J.M., E.L., P.A.H.), Stanford University, CA.
Paul A HeidenreichDivision of Cardiovascular Medicine and the Cardiovascular Institute, Department of Medicine (A.T.S., F.R., D.J.M., E.L., P.A.H.), Stanford University, CA.

Funding

Stanford Center for Clinical & Translational Education and Research (Spectrum)UL1TR003142 · NCATS · STANFORD UNIVERSITY · PI O'HARA, RUTH M · 2019 to 2023
$45.0M
Spectrum Stanford Center for clinical and Translational Research and EducationUL1TR001085 · NCATS · STANFORD UNIVERSITY · PI CULLEN, MARK RICHARD, GREENBERG, HARRY BERNARD · 2013 to 2017
$37.1M
SURPASS: (Statin Use and Risk Prediction of Atherosclerotic Cardiovascular Disease in minority Subgroups)K01HL144607 · NHLBI · STANFORD UNIVERSITY · PI RODRIGUEZ, FATIMA · 2019 to 2023
$856k
The Effect of Value-based Payment on Heart Failure Quality of Care (Value-HF)K23HL151672 · NHLBI · STANFORD UNIVERSITY · PI SANDHU, ALEXANDER · 2020 to 2024
$854k
NCATS NIH HHS UL1 TR001085NCATS NIH HHS UL1 TR003142NHLBI NIH HHS K01 HL144607NHLBI NIH HHS K23 HL151672
6 · The paper itself

Abstract

backgroundEarly heart failure (HF) recognition can reduce morbidity, yet HF is often initially diagnosed only after a patient clinically worsens. We sought to identify characteristics that predict diagnosis in the acute care setting versus the outpatient setting.

methodsWe estimated the proportion of incident HF diagnosed in the acute care setting (inpatient hospital or emergency department) versus outpatient setting based on diagnostic codes from a claims database covering commercial insurance and Medicare Advantage between 2003 and 2019. After excluding new-onset HF potentially caused by a concurrent acute cause (eg, acute myocardial infarction), we identified demographic, clinical, and socioeconomic predictors of diagnosis setting. Patients were linked to their primary care clinicians to evaluate diagnosis setting variation across clinicians.

resultsOf 959 438 patients with new HF, 38% were diagnosed in acute care. Of these, 46% had potential HF symptoms in the prior 6 months. Over time, the relative odds of acute care diagnosis increased by 3.2% annually after adjustment for patient characteristics (95% CI, 3.1%-3.3%). Acute care diagnosis setting was more likely for women compared with men (adjusted odds ratio, 1.11 [95% CI, 1.10-1.12]) and for Black patients compared with White patients (adjusted odds ratio, 1.18 [95% CI, 1.16-1.19]). The proportion of acute care diagnosis varied substantially (interquartile range: 24%-39%) among clinicians after adjusting for patient-level risk factors.

conclusionsA large proportion of first HF diagnoses occur in the acute care setting, particularly among women and Black patients, yet many had potential HF symptoms in the months before acute care visits. These results raise concerns that many HF diagnoses are missed in the outpatient setting. Earlier diagnosis could allow for timelier high-value interventions, addressing disparities and reducing the progression of HF.

Indexed as

FemaleHeart FailureHospitalizationHumansMaleMedicareMyocardial InfarctionOdds RatioRisk FactorsUnited Statesdiagnosishealth services researchheart failuremorbidityrisk factors

Identifiers

PMID34311559
PMCPMC9070116

What OpenQuestion holds

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Registered trials

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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.