Evidence map›Paper›PMID 37950893›Full record

ArticleCirculation2024

Optimal Screening for Predicting and Preventing the Risk of Heart Failure Among Adults With Diabetes Without Atherosclerotic Cardiovascular Disease: A Pooled Cohort Analysis.

Kershaw V Patel, Matthew W Segar, David C Klonoff, Muhammad Shahzeb Khan, Muhammad Shariq Usman, Carolyn S P Lam, Subodh Verma, Andrew P DeFilippis, Khurram Nasir, Stephan J L Bakker and 5 more

Open access · greenAbstract read
In one paragraph

Article in Circulation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
5.6field-weighted citation impact, top 3% 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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 28 citations in OpenAlex.

  1. Guideline
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Observational
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Advances in laboratory medicine · 2024
    Article
  14. Article
  15. Review
  16. Lipotoxicity as a therapeutic target in obesity and diabetic cardiomyopathy.Journal of pharmacy & pharmaceutical sciences : a publication of the Canadian Society for Pharmaceutical Sciences, Societe canadienne des sciences pharmaceutiques · 2024
    Review
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

15 authors at 10 institutions in 4 countries.

Kershaw V Patel *Department of Cardiology, Houston Methodist DeBakey Heart & Vascular Center, TX (K.V.P., K.N.).ORCID 0000-0003-2002-4096
Matthew W Segar *Department of Cardiology, Texas Heart Institute, Houston (M.W.S.).ORCID 0000-0001-6100-0897
David C KlonoffDiabetes Research Institute, Mills-Peninsula Medical Center, San Mateo, CA (D.C.K.).ORCID 0000-0001-6394-6862
Muhammad Shahzeb KhanDivision of Cardiology, Duke University School of Medicine, Durham, NC (M.S.K.).ORCID 0000-0003-1250-6351
Muhammad Shariq UsmanDivision of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas (M.S.U., A.P.).
Carolyn S P LamNational Heart Centre Singapore, Duke-National University of Singapore (C.S.P.L).ORCID 0000-0003-1903-0018
Subodh VermaDivision of Cardiac Surgery, St Michael's Hospital, University of Toronto, Canada (S.V.).ORCID 0000-0002-4018-8533
Andrew P DeFilippisDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN (A.P.D.).
Khurram NasirDepartment of Cardiology, Houston Methodist DeBakey Heart & Vascular Center, TX (K.V.P., K.N.).ORCID 0000-0001-5376-2269
Stephan J L BakkerDepartment of Internal Medicine (S.J.L.B., R.P.F.D.), University Medical Center Groningen, University of Groningen, The Netherlands.ORCID 0000-0003-3356-6791
B Daan WestenbrinkDepartment of Cardiology (B.D.W.), University Medical Center Groningen, University of Groningen, The Netherlands.ORCID 0000-0002-1362-7019
Robin P F DullaartDepartment of Internal Medicine (S.J.L.B., R.P.F.D.), University Medical Center Groningen, University of Groningen, The Netherlands.ORCID 0000-0002-3844-5254
Javed ButlerDepartment of Medicine, University of Mississippi Medical Center, Jackson (J.B.).ORCID 0000-0001-7683-4720
Muthiah VaduganathanDepartment of Medicine, University of Mississippi Medical Center, Jackson (J.B.).ORCID 0000-0003-0885-1953
Ambarish PandeyDivision of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas (M.S.U., A.P.).ORCID 0000-0001-9651-3836
Houston Methodist · USUniversity Medical Center Groningen · NLThe University of Texas Southwestern Medical Center · USBrigham and Women's Hospital · USDuke University · USJackson Memorial Hospital · USMills Peninsula Health Services · USNational University of Singapore · SGSt. Michael's Hospital · CAVanderbilt University Medical Center · US

Funding

Polypill strategy for the evidence-based management of heart failure with reduced ejection fraction in an underserved patient populationR01MD017529 · NIMHD · UT SOUTHWESTERN MEDICAL CENTER · PI PANDEY, AMBARISH, WANG, THOMAS J. · 2022 to 2025
$2.9M
Evaluation of Racial Differences in Cardiorespiratory Fitness Decline with Aging & Underlying Biological MechanismsR03AG067960 · NIA · UT SOUTHWESTERN MEDICAL CENTER · PI PANDEY, AMBARISH · 2020 to 2021
$327k
Cardiac biomarkers, intensive blood pressure treatment and risk of adverse cardiovascular outcomes in type 2 diabetes, a secondary analysis of the ACCORD BPR21HL169708 · NHLBI · UT SOUTHWESTERN MEDICAL CENTER · PI PANDEY, AMBARISH · 2023 to 2024
$261k
NHLBI NIH HHS R21 HL169708NIA NIH HHS R03 AG067960NIMHD NIH HHS R01 MD017529
6 · The paper itself

Abstract

backgroundThe optimal approach to identify individuals with diabetes who are at a high risk for developing heart failure (HF) to inform implementation of preventive therapies is unknown, especially in those without atherosclerotic cardiovascular disease (ASCVD).

methodsAdults with diabetes and no HF at baseline from 7 community-based cohorts were included. Participants without ASCVD who were at high risk for developing HF were identified using 1-step screening strategies: risk score (WATCH-DM [Weight, Age, Hypertension, Creatinine, HDL-C, Diabetes Control, QRS Duration, MI, and CABG] ≥12), NT-proBNP (N-terminal pro-B-type natriuretic peptide ≥125 pg/mL), hs-cTn (high-sensitivity cardiac troponin T ≥14 ng/L; hs-cTnI ≥31 ng/L), and echocardiography-based diabetic cardiomyopathy (echo-DbCM; left atrial enlargement, left ventricular hypertrophy, or diastolic dysfunction). High-risk participants were also identified using 2-step screening strategies with a second test to identify residual risk among those deemed low risk by the first test: WATCH-DM/NT-proBNP, NT-proBNP/hs-cTn, NT-proBNP/echo-DbCM. Across screening strategies, the proportion of HF events identified, 5-year number needed to treat and number needed to screen to prevent 1 HF event with an SGLT2i (sodium-glucose cotransporter 2 inhibitor) among high-risk participants, and cost of screening were estimated.

resultsThe initial study cohort included 6293 participants (48.2% women), of whom 77.7% without prevalent ASCVD were evaluated with different HF screening strategies. At 5-year follow-up, 6.2% of participants without ASCVD developed incident HF. The 5-year number needed to treat to prevent 1 HF event with an SGLT2i among participants without ASCVD was 43 (95% CI, 29-72). In the cohort without ASCVD, high-risk participants identified using 1-step screening strategies had a low 5-year number needed to treat (22 for NT-proBNP to 37 for echo-DbCM). However, a substantial proportion of HF events occurred among participants identified as low risk using 1-step screening approaches (29% for echo-DbCM to 47% for hs-cTn). Two-step screening strategies captured most HF events (75-89%) in the high-risk subgroup with a comparable 5-year number needed to treat as the 1-step screening approaches (30-32). The 5-year number needed to screen to prevent 1 HF event was similar across 2-step screening strategies (45-61). However, the number of tests and associated costs were lowest for WATCH-DM/NT-proBNP ($1061) compared with other 2-step screening strategies (NT-proBNP/hs-cTn: $2894; NT-proBNP/echo-DbCM: $16 358).

conclusionsSelective NT-proBNP testing based on the WATCH-DM score efficiently identified a high-risk primary prevention population with diabetes expected to derive marked absolute benefits from SGLT2i to prevent HF.

Indexed as

AtherosclerosisCardiovascular DiseasesDiabetes MellitusHeart FailureAdultBiomarkersCohort StudiesFemaleHumansMaleNatriuretic Peptide, BrainPeptide FragmentsTroponin TBiomarkersNatriuretic Peptide, BrainPeptide FragmentsTroponin Tbiomarkersheart failurerisktype 2 diabetes mellitus

Identifiers

PMID37950893
PMCPMC11257100
OpenAlexW4388586266

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.