Evidence map›Paper›PMID 31853555›Full record

ArticleThe Journal of clinical endocrinology and metabolism2020

Interrelationships Between Pituitary Hormones as Assessed From 24-hour Serum Concentrations in Healthy Older Subjects.

Evie van der Spoel, Ferdinand Roelfsema, Abimbola A Akintola, Steffy W Jansen, P Eline Slagboom, Rudi G J Westendorp, Gerard J Blauw, Hanno Pijl, Diana van Heemst

Open access · hybridAbstract read
In one paragraph

Article in The Journal of clinical endocrinology and metabolism, 2020. 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
0.8field-weighted citation impact, top 34% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Comprehensive evaluation and analysis of pituitary hormones in male patients with non-functional pituitary adenoma during the perioperative period.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
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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

9 authors at 2 institutions in 2 countries.

Evie van der SpoelSection Gerontology and Geriatrics, Department of Internal Medicine, Leiden University Medical Center, RC Leiden, The Netherlands.
Ferdinand RoelfsemaSection Endocrinology, Department of Internal Medicine, Leiden University Medical Center, RC Leiden, The Netherlands.
Abimbola A AkintolaSection Gerontology and Geriatrics, Department of Internal Medicine, Leiden University Medical Center, RC Leiden, The Netherlands.
Steffy W JansenSection Gerontology and Geriatrics, Department of Internal Medicine, Leiden University Medical Center, RC Leiden, The Netherlands.
P Eline SlagboomSection Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, RC Leiden The Netherlands.
Rudi G J WestendorpSection Gerontology and Geriatrics, Department of Internal Medicine, Leiden University Medical Center, RC Leiden, The Netherlands.
Gerard J BlauwSection Gerontology and Geriatrics, Department of Internal Medicine, Leiden University Medical Center, RC Leiden, The Netherlands.
Hanno PijlSection Endocrinology, Department of Internal Medicine, Leiden University Medical Center, RC Leiden, The Netherlands.
Diana van HeemstSection Gerontology and Geriatrics, Department of Internal Medicine, Leiden University Medical Center, RC Leiden, The Netherlands.
Leiden University Medical Center · NLUniversity of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextHormones of the hypothalamic-pituitary-target gland axes are mostly investigated separately, whereas the interplay between hormones might be as important as each separate hormonal axis.

objectiveOur aim is to determine the interrelationships between GH, TSH, ACTH, and cortisol in healthy older individuals.

designWe made use of 24-hour hormone serum concentrations assessed with intervals of 10 minutes from 38 healthy older individuals with a mean age (SD) of 65.1 (5.1) years from the Leiden Longevity Study. Cross-correlation analyses were performed to assess the relative strength between 2 24-hour hormone serum concentration series for all possible time shifts. Cross-approximate entropy was used to assess pattern synchronicity between 2 24-hour hormone serum concentration series.

resultsWithin an interlinked hormonal axis, ACTH and cortisol were positively correlated with a mean (95% confidence interval) correlation coefficient of 0.78 (0.74-0.81) with cortisol following ACTH concentrations with a delay of 10 minutes. Between different hormonal axes, we observed a negative correlation coefficient between cortisol and TSH of -0.30 (-0.36 to -0.25) with TSH following cortisol concentrations with a delay of 170 minutes. Furthermore, a positive mean (95% confidence interval) correlation coefficient of 0.29 (0.22-0.37) was found between TSH and GH concentrations without any delay. Moreover, cross-approximate entropy analyses showed that GH and cortisol exhibit synchronous serum concentration patterns.

conclusionsThis study demonstrates that interrelations between hormones from interlinked as well as different hypothalamic-pituitary-target gland axes are observed in healthy older individuals. More research is needed to determine the biological meaning and clinical consequences of these observations.

Indexed as

Circadian RhythmLongevityAgedAged, 80 and overAgingBiomarkersFemaleFollow-Up StudiesHuman Growth HormoneHumansHydrocortisoneMaleMiddle AgedPituitary HormonesPrognosisBiomarkersHuman Growth HormoneHydrocortisonePituitary Hormonescross-approximate entropycross-correlationfamilial longevityhumanpituitary hormonestime series data

Identifiers

PMID31853555
PMCPMC7065845
OpenAlexW2995934688

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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.