Evidence map›Paper›PMID 30791699›Full record

ArticleEuropean journal of preventive cardiology2019

Body fat estimates from bioelectrical impedance equations in cardiovascular risk assessment: The PREVEND cohort study.

Oyuntugs Byambasukh, Michele F Eisenga, Ron T Gansevoort, Stephan Jl Bakker, Eva Corpeleijn

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in European journal of preventive cardiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 6% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.

  1. Pooled it
  2. Trial
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  5. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 2 countries.

Oyuntugs Byambasukh1 Department of Epidemiology, University Medical Centre Groningen, University of Groningen, The Netherlands.
Michele F Eisenga3 Department of Internal Medicine, University Medical Centre Groningen, University of Groningen, The Netherlands.
Ron T Gansevoort3 Department of Internal Medicine, University Medical Centre Groningen, University of Groningen, The Netherlands.
Stephan Jl Bakker3 Department of Internal Medicine, University Medical Centre Groningen, University of Groningen, The Netherlands.
Eva Corpeleijn1 Department of Epidemiology, University Medical Centre Groningen, University of Groningen, The Netherlands.
University of Groningen · NLUniversity Medical Center Groningen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTo investigate prospectively the association of body fat percentage (BF%) estimates using various equations from bioelectrical impedance analysis (BIA) with cardiovascular events, compared with body mass index (BMI) and waist circumference. METHODS AND

resultsWe used data of 34 BIA-BF%-equations that were used for estimation of BF% in 6486 (men = 3194, women = 3294) subjects. During a median follow-up of 8.3 years, 510 (7.9%) cardiovascular events (363 in men; 147 in women) occurred. In men, the crude hazard ratio (95% confidence interval) for BF% from the best predicting BIA-BF%-equation was 3.97 (3.30-4.78) against 2.13 (1.85-2.45) for BF% from the BIA device's BIA-BF%-equation, 1.34 (1.20-1.49) for BMI and 1.49 (1.40-1.73) for waist circumference per log-1-SD increase of all. In women, the hazard ratios for best predicting BIA-BF%-equation, BIA device estimation, BMI and waist circumference were 3.80 (2.85-4.99), 1.89 (1.57-2.28), 1.35 (1.21-1.51) and 1.52 (1.31-1.75), respectively. After adjustments for age, Framingham cardiovascular disease risk score and creatinine excretion - a marker of muscle mass - BF%s and BMI remained independently associated with cardiovascular events in both men and women, while waist circumference was independently associated with cardiovascular events in men, but not in women. According to discrimination ability (C-index) and additive predictive value (net reclassification index and integrated discrimination index) on obesity measures to the Framingham cardiovascular disease risk score, BF% was superior to BMI and waist circumference in both men and women.

conclusionsBF% was independently associated with future cardiovascular events. Body fat estimates from the best-predicting BIA-BF%-equations can be a more predictive measurement in cardiovascular risk assessment than BMI or waist circumference.

Indexed as

AdiposityModels, BiologicalAdultAgedBody Mass IndexCardiovascular DiseasesElectric ImpedanceFemaleHumansMaleMiddle AgedNetherlandsObesityPredictive Value of TestsPrognosisProspective Studiesbioelectrical impedance analysisBMIBody fatcardiovascular diseasewaist circumference

Identifiers

PMID30791699
PMCPMC6545622
OpenAlexW2915272273

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.