Evidence map›Paper›PMID 33544092›Full record

ArticleEndocrine connections2021

Free testosterone and cardiometabolic parameters in men: comparison of algorithms.

Stine A Holmboe, Ravi Jasuja, Brian Lawney, Lærke Priskorn, Niels Joergensen, Allan Linneberg, Tina Kold Jensen, Niels Erik Skakkebæk, Anders Juul, Anna-Maria Andersson

Open access · goldAbstract read
In one paragraph

Article in Endocrine connections, 2021. 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
0.7field-weighted citation impact, top 29% 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, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  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

10 authors at 3 institutions in 2 countries.

Stine A HolmboeDepartment of Growth and Reproduction, Rigshospitalet, University of Copenhagen, Blegdamsvej, Copenhagen, Denmark.
Ravi JasujaResearch Program in Men's Health: Aging and Metabolism, Brigham and Womens Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Brian LawneyResearch Program in Men's Health: Aging and Metabolism, Brigham and Womens Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Lærke PriskornDepartment of Growth and Reproduction, Rigshospitalet, University of Copenhagen, Blegdamsvej, Copenhagen, Denmark.
Niels JoergensenDepartment of Growth and Reproduction, Rigshospitalet, University of Copenhagen, Blegdamsvej, Copenhagen, Denmark.
Allan LinnebergCentre for Clinical Research and Prevention, Frederiksberg Hospital, Copenhagen, Denmark.
Tina Kold JensenDepartment of Growth and Reproduction, Rigshospitalet, University of Copenhagen, Blegdamsvej, Copenhagen, Denmark.
Niels Erik SkakkebækDepartment of Growth and Reproduction, Rigshospitalet, University of Copenhagen, Blegdamsvej, Copenhagen, Denmark.
Anders JuulDepartment of Growth and Reproduction, Rigshospitalet, University of Copenhagen, Blegdamsvej, Copenhagen, Denmark.
Anna-Maria AnderssonDepartment of Growth and Reproduction, Rigshospitalet, University of Copenhagen, Blegdamsvej, Copenhagen, Denmark.
Rigshospitalet · DKUniversity of Copenhagen · DKHarvard University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveCalculating the free testosterone level has gained increasing interest and different indirect algorithms have been suggested. The objective was to compare free androgen index (FAI), free testosterone estimated using the linear binding model (Vermeulen: cFTV) and the binding framework accounting for allosterically coupled SHBG monomers (Zakharov: cFTZ) in relation to cardiometabolic conditions.

designA prospective cohort study including 5350 men, aged 30-70 years, participating in population-based surveys (MONICA I-III and Inter99) from 1982 to 2001 and followed until December 2012 with baseline and follow-up information on cardiometabolic parameters and vital status.

resultsUsing age-standardized hormone levels, FAI was higher among men with baseline cardiometabolic conditions, whereas cFTV and cFTZ levels were lower compared to men without these conditions as also seen for total testosterone. Men in highest quartiles of cFTV or cFTZ had lower risk of developing type 2 diabetes (cFTV: HR = 0.74 (0.49-1.10), cFTZ: HR = 0.59 (0.39-0.91)) than men in lowest quartile. In contrast, men with highest levels of FAI had a 74% (1.17-2.59) increased risk of developing type 2 diabetes compared to men in lowest quartile.

conclusionThe association of estimated free testosterone and the studied outcomes differ depending on algorithm used. cFTV and cFTZ showed similar associations to baseline and long-term cardiometabolic parameters. In contrast, an empiric ratio, FAI, showed opposite associations to several of the examined parameters and may reflect limited clinical utility.

Indexed as

follow-up studyfree testosteronemetabolic syndrometotal testosterone

Identifiers

PMID33544092
PMCPMC7983478
OpenAlexW3128745587

What OpenQuestion holds

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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.