Evidence map›Paper›PMID 33065263›Full record

ArticleJournal of cardiac failure2021

Inclusion of Performance Parameters and Patient Context in the Clinical Practice Guidelines for Heart Failure.

Parag Goyal, Ozan Unlu, Peter J Kennel, Ross C Schumacher, Lauren G Gilstrap, Ashok Krishnaswami, Larry A Allen, Mathew S Maurer, Michael W Rich, Anil Makam

Abstract read
In one paragraph

Article in Journal of cardiac failure, 2021. 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
–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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Polypharmacy in Heart Failure: Progress But Also Problem.The American journal of medicine · 2021
    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

10 authors.

Parag GoyalDepartment of Medicine, Weill Cornell Medicine, New York, New York. Electronic address: pag9051@med.cornell.edu.
Ozan UnluDepartment of Medicine, Weill Cornell Medicine, New York, New York.
Peter J KennelDepartment of Medicine, Weill Cornell Medicine, New York, New York.
Ross C SchumacherDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas.
Lauren G GilstrapDivision of Cardiovascular Medicine, Dartmouth Hitchcock Medical Center, Lebanon, New Hampshire.
Ashok KrishnaswamiDivision of Cardiology, Kaiser Permanente San Jose Medical Center, San Jose, California.
Larry A AllenDivision of Cardiology, University of Colorado School of Medicine, Aurora, Colorado.
Mathew S MaurerDepartment of Medicine, Columbia University Irving Medical Center, New York, New York.
Michael W RichCardiovascular Division, Washington University School of Medicine in St. Louis, St. Louis, Missouri.
Anil MakamDepartment of Medicine, University of California-San Francisco, San Francisco, California.

Funding

Post-Acute Care in the Elderly: the Role of Long-Term Acute Care HospitalsK23AG052603 · NIA · UT SOUTHWESTERN MEDICAL CENTER · PI MAKAM, ANIL NAGA · 2016 to 2021
$1.1M
The Impact of Quality Metrics on Outcomes Among Elderly Heart Failure PatientsK23HL142835 · NHLBI · DARTMOUTH-HITCHCOCK CLINIC · PI GILSTRAP, LAUREN GRAY · 2018 to 2022
$831k
Impact of Polypharmacy on Rehospitalization in Older Adults with Heart FailureR03AG056446 · NIA · WEILL MEDICAL COLL OF CORNELL UNIV · PI GOYAL, PARAG · 2017 to 2018
$265k
Physician Scientists in Aging: Developing and Activating Specialty InvestigatorsU13AG048721 · NIA · AMERICAN GERIATRICS SOCIETY · PI CARPENTER, CHRISTOPHER ROBERT · 2014 to 2018
$208k
NHLBI NIH HHS K23 HL142835NIA NIH HHS K23 AG052603NIA NIH HHS R03 AG056446NIA NIH HHS U13 AG048721
6 · The paper itself

Abstract

backgroundTo facilitate evidence-based medicine (EBM) on an individual level, it may be important for clinical practice guidelines (CPGs) to incorporate the performance parameters of diagnostic studies and therapeutic interventions (such as likelihood ratio and absolute benefit or harm), and to incorporate relevant patient contexts that may influence decision-making. We sought to determine the extent to which heart failure CPGs currently incorporate this information.

methodsWe reviewed the American College of Cardiology Foundation/American Heart Association (ACCF/AHA) 2013 Heart Failure CPG, the 2017 ACCF/AHA/HFSA update, and European Society of Cardiology (ESC) 2016 Heart Failure CPG. We abstracted variables for each CPG recommendation from the following domains: quality of evidence, strength of recommendation, diagnostic and therapeutic performance parameters, and patient context.

resultsWe examined 169 recommendations from the ACCF/AHA 2013 CPGs and 2017 update and 187 recommendations from the 2016 ESC CPGs. Performance parameters for diagnostic studies (2013 ACCF/AHA: 13%; 2017 ACCF/AHA/HFSA update: 0%; 2016 ESC: 0%) and therapeutic interventions (2013 ACCF/AHA: 65%; 2017 ACCF/AHA/HFSA update: 64%; 2016 ESC: 16%) were not commonly included in CPGs. Patient context was included in about half of ACCF/AHA recommendations and a quarter of ESC recommendations.

conclusionsThe majority of recommendations from heart failure CPGs lack information on diagnostic and therapeutic performance parameters and patient context. Given the importance of these components to effectively implement EBM, particularly for a heterogeneous heart failure population, innovative strategies are needed to optimize CPGs so they provide comprehensive yet succinct recommendations that can improve population-level outcomes and ensure optimal patient-centered care.

Indexed as

CardiologyHeart FailureAmerican Heart AssociationHumansUnited Statesdecision-makingevidence-based medicine (EBM)Heart failurepractice guidelines

Identifiers

PMID33065263
PMCPMC8819499

What OpenQuestion holds

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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.