Evidence map›Paper›PMID 29896315›Full record

ArticleThe EPMA journal2018

Novel concept to guide systolic heart failure medication by repeated biomarker testing-results from TIME-CHF in context of predictive, preventive, and personalized medicine.

Nasser Davarzani, Sandra Sanders-van Wijk, Micha T Maeder, Peter Rickenbacher, Evgueni Smirnov, Joël Karel, Thomas Suter, Rudolf A de Boer, Dirk Block, Vinzent Rolny and 5 more

Open access · bronzeAbstract read
In one paragraph

Article in The EPMA journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 16% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. 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

15 authors at 8 institutions in 3 countries.

Nasser Davarzani1Department of Data Science and Knowledge Engineering, Maastricht University, St. Servaasklooster 39, P.O. Box 616, 6200 MD Maastricht, the Netherlands.
Sandra Sanders-van Wijk2Department of Cardiology, Maastricht University Medical Center, Maastricht, the Netherlands.
Micha T Maeder4Department of Cardiology, Kantonsspital St. Gallen, St. Gallen, Switzerland.
Peter RickenbacherDivision of Cardiology, University Hospital Bruderholz, Bruderholz, Switzerland.
Evgueni Smirnov1Department of Data Science and Knowledge Engineering, Maastricht University, St. Servaasklooster 39, P.O. Box 616, 6200 MD Maastricht, the Netherlands.
Joël Karel1Department of Data Science and Knowledge Engineering, Maastricht University, St. Servaasklooster 39, P.O. Box 616, 6200 MD Maastricht, the Netherlands.
Thomas Suter6Department of Cardiology, University Hospital Berne, Berne, Switzerland.
Rudolf A de Boer7Department of Cardiology, University Medical Center Groningen, Groningen, the Netherlands.
Dirk Block8Roche Diagnostics GmbH, Penzberg, Germany.
Vinzent Rolny8Roche Diagnostics GmbH, Penzberg, Germany.
Christian ZauggRoche Diagnostics International, Rotkreuz, Switzerland.
Matthias E Pfisterer10Department of Cardiology, University Hospital Basel, Basel, Switzerland.
Ralf Peeters1Department of Data Science and Knowledge Engineering, Maastricht University, St. Servaasklooster 39, P.O. Box 616, 6200 MD Maastricht, the Netherlands.
Hans-Peter Brunner-La Rocca2Department of Cardiology, Maastricht University Medical Center, Maastricht, the Netherlands.
TIME-CHF investigators
Maastricht University · NLKantonsspital St. Gallen · CHMaastricht University Medical Centre · NLRoche (Switzerland) · CHUniversity Hospital of Basel · CHUniversity Medical Center Groningen · NLRoche Pharma AG (Germany) · DEUniversity Hospital of Bern · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt is uncertain whether repeated measurements of a multi-target biomarker panel may help to personalize medical heart failure (HF) therapy to improve outcome in chronic HF.

methodsThis analysis included 499 patients from the Trial of Intensified versus standard Medical therapy in Elderly patients with Congestive Heart Failure (TIME-CHF), aged ≥ 60 years, LVEF ≤ 45%, and NYHA ≥ II, who had repeated clinical visits within 19 months follow-up. The interaction between repeated measurements of biomarkers and treatment effects of loop diuretics, spironolactone, β-blockers, and renin-angiotensin system (RAS) inhibitors on risk of HF hospitalization or death was investigated in a hypothesis-generating analysis. Generalized estimating equation (GEE) models were used to account for the correlation between recurrences of events in a patient.

resultsOne hundred patients (20%) had just one event (HF hospitalization or death) and 87 (17.4%) had at least two events. Loop diuretic up-titration had a beneficial effect for patients with high interleukin-6 (IL6) or high high-sensitivity C-reactive protein (hsCRP) (interaction,

conclusionThe data of this post hoc analysis suggest that decision-making using repeated biomarker measurements may be very promising in bringing treatment of heart failure to a new level in the context of predictive, preventive, and personalized medicine. Clearly, prospective testing is needed before this novel concept can be adopted. CLINICAL

trial registrationisrctn.org, identifier: ISRCTN43596477.

Indexed as

BiomarkerGeneralized estimating equationsHeart failureHeart failure medicationPredictive preventive personalized medicine

Identifiers

PMID29896315
PMCPMC5972133
OpenAlexW2799783463

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LicenceCC BY
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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.