Evidence map›Paper›PMID 35126310›Full record

Observational studyFrontiers in endocrinology2021

Yearly Height Gain Is Dependent on the Truly Received Dose of Growth Hormone and the Duration of Periods of Poor Adherence: Practical Lessons From the French Easypod™ Connect Multicenter Observational Study.

Régis Coutant, Marc Nicolino, Benoit Cammas, Valérie de Buyst, Maïthé Tauber, Jean-François Hamel

Open access · goldAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Frontiers in endocrinology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 2 pooled it
1.0field-weighted citation impact, top 26% 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

3 citing papers in PubMed, 2 syntheses or guidelines pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Guideline
  3. 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

6 authors at 6 institutions in 2 countries.

Régis CoutantPediatric Endocrinology and Diabetology Department, Angers University Medical Center, Angers, France.
Marc NicolinoPediatric Endocrinology, Diabetology and Metabolism Department, Lyon Women's and Children's Hospital, Lyon, France.
Benoit CammasPediatric Endocrinology Department, Bordeaux Nord Aquitaine Clinic, Bordeaux, France.
Valérie de BuystMedical Affairs Department, Merck Serono SAS, an Affiliate of Merck KGaA, Lyon, France.
Maïthé TauberEndocrine, Obesity Bone Diseases Gynecology and Genetics Unit, Children's Hospital, Toulouse University Medical Center, Toulouse, France, and Toulouse Institute for Infectious and Inflammatory Diseases, INSERM UMR1291 - CNRS UMR5051, Toulouse III University, Toulouse, France.
Jean-François HamelBiostatistics and Methodology Department, Angers University Medical Center, Angers, France, and ESTER Group, IRSET INSERM UMR 1085, Angers University, Angers, France.
École des Hautes Études en Santé Publique · FRHôpital Femme Mère Enfant · FRHospices Civils de Lyon · FRInstitut Toulousain des Maladies Infectieuses et InflammatoiresMerck (France) · FRUniversité d'Angers · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To study the impact of the true mean daily dose and the true mean number of injections per week on the yearly height gain in short children treated with recombinant human growth hormone (rhGH). Design and Methods: 220 children from the French Easypod™ Connect Observational Study (ECOS) used the Easypod™ electronic device to record rhGH injections. The mean daily rhGH dose (the sum of the doses truly received divided by the number of days) and mean number of injections per week (the number of injections truly performed divided by the number of weeks) were calculated. Linear mixed models were used to study the impact of short (3-month) and long (1-year) variations in rhGH administration on the yearly height change [as a standard deviation score (SDS)], with time on treatment as a covariate. For each patient, several periods of 3 or 12 months were considered and designated as poorly adherence or fully adherence. We studied the impact of each of period on the height change. Results: At treatment initiation, the mean ± SD age was 9.8 ± 3.7 years (females: 47%, prepubertal: 86%) and the mean height was -2.28 ± 0.92 SDS. The mean treatment duration was 3.2 ± 1.1 years (685.2 patient years). 122 patients were GH-deficient, 79 were small for gestational age, and 19 had Turner syndrome. When treatment was computed over 12-month periods, receiving a mean daily dose <0.03 mg/kg.d was associated with a 20% lower mean yearly height gain SDS when<3 injections/week were received (vs.>5 injections/week), whereas maintaining a mean daily dose >0.03 mg/kg.d with<3 injections/week was not associated with a lower yearly height gain SDS (vs.>5 injections/week). For 3-month periods, changes in the daily rhGH dose or the number of injections per week over such short period did not influence the yearly height gain SDS. Conclusion: The 12-month treatment model showed that when poor adherence leads to a low true daily GH dose, the yearly height gain is low. The 3-month treatment model showed that poor adherence for short periods (<3 months) had no impact on the height SDS.

Indexed as

Drug MonitoringAdolescentBody HeightChildFemaleGrowth DisordersGrowth HormoneHormone Replacement TherapyHuman Growth HormoneHumansMaleRetrospective StudiesTreatment OutcomeGrowth HormoneHuman Growth Hormoneadherencechildrenelectronic devicegrowth hormone deficiencyheight gainrecombinant human growth hormonesmall for gestational age

Identifiers

PMID35126310
PMCPMC8812007
OpenAlexW4205120980

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.