Evidence map›Paper›PMID 30815544›Full record

ArticleEndocrinology, diabetes & metabolism2018

Twenty-four-hour growth hormone profiling in the assessment of acromegaly.

Robert D'Arcy, C Hamish Courtney, Una Graham, Steven Hunter, David R McCance, Karen Mullan

Open access · hybridAbstract read
In one paragraph

Article in Endocrinology, diabetes & metabolism, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
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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

6 authors at 1 institution in 1 country.

Robert D'ArcyRegional Centre for Endocrinology and Diabetes Royal Victoria Hospital Belfast UK.ORCID 0000-0001-9455-4693
C Hamish CourtneyRegional Centre for Endocrinology and Diabetes Royal Victoria Hospital Belfast UK.
Una GrahamRegional Centre for Endocrinology and Diabetes Royal Victoria Hospital Belfast UK.
Steven HunterRegional Centre for Endocrinology and Diabetes Royal Victoria Hospital Belfast UK.
David R McCanceRegional Centre for Endocrinology and Diabetes Royal Victoria Hospital Belfast UK.
Karen MullanRegional Centre for Endocrinology and Diabetes Royal Victoria Hospital Belfast UK.
University of Ulster · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

OBJECTIVES AND

backgroundRecent guidelines recommend insulin-like growth factor (IGF-1), random growth hormone (GH) and nadir GH on an oral glucose tolerance test (OGTT) for assessment of acromegaly. At this Regional Centre, the 24-hour GH profile has also been used. DESIGN PATIENTS AND MEASUREMENTS: We evaluated 57 GH profiles from 34 patients from 2008 to 2012. Samples were drawn every 2 hour and matched with 0800 GH, nadir GH after OGTT and IGF-1.

resultsCorrelations between the mean 13-point profiles and mean 5-point profile, OGTT nadir and 0800 GH were as follows:

conclusionsGrowth hormone profiling is not necessary for assessing the majority of patients with acromegaly if there is confidence in the local IGF-1 assay. When undertaken, a 5-point profile is adequate. In patients with very high 0800 GH, 24-hour profiling was useful in demonstrating partial therapeutic success but did not alter management. Further work is needed to explore the possible role of GH profiling in stratifying patients with discordant IGF-1 and GH results.

Indexed as

acromegaly/metabolismacromegaly/radiotherapyacromegaly/surgerybiomarkersglucose tolerance testgrowth hormoneinsulin‐like growth factor 1

Identifiers

PMID30815544
PMCPMC6360915
OpenAlexW2780074834

What OpenQuestion holds

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LicenceCC BY-NC
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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.