Evidence map›Paper›PMID 38416368›Full record

ArticleJournal of endocrinological investigation2024

ACROMORFO study: gait analysis in a cohort of acromegalic patients.

V Cimolin, C Premoli, G Bernardelli, E Amenta, M Galli, L Donno, D Lucini, L M Fatti, B Cangiano, L Persani and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of endocrinological investigation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.8field-weighted citation impact, top 15% 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, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Observational
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

11 authors at 3 institutions in 1 country.

V Cimolin *Department of Electronics, Information and Bioengineering, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133, Milan, Italy.ORCID http://orcid.org/0000-0001-6299-7254
C Premoli *Department of Medical Biotechnology and Translational Medicine, University of Milan, 20122, Milan, Italy.
G BernardelliDISCCO Department, University of Milan, 20122, Milan, Italy.ORCID http://orcid.org/0000-0001-6626-8526
E AmentaDISCCO Department, University of Milan, 20122, Milan, Italy.
M GalliDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133, Milan, Italy.ORCID http://orcid.org/0000-0003-2772-4837
L DonnoDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133, Milan, Italy.ORCID http://orcid.org/0000-0003-4297-2433
D LuciniDepartment of Medical Biotechnology and Translational Medicine, University of Milan, 20122, Milan, Italy.ORCID http://orcid.org/0000-0003-4845-8988
L M FattiDepartment of Endocrine and Metabolic Medicine, IRCCS, Istituto Auxologico Italiano, 20149, Milan, Italy.ORCID http://orcid.org/0000-0002-1219-8953
B CangianoDepartment of Medical Biotechnology and Translational Medicine, University of Milan, 20122, Milan, Italy.ORCID http://orcid.org/0000-0002-2658-744X
L PersaniDepartment of Medical Biotechnology and Translational Medicine, University of Milan, 20122, Milan, Italy.ORCID http://orcid.org/0000-0003-2068-9581
G VitaleDepartment of Medical Biotechnology and Translational Medicine, University of Milan, 20122, Milan, Italy. giovanni.vitale@unimi.it.ORCID http://orcid.org/0000-0003-2478-683X
University of Milan · ITIRCCS Istituto Auxologico Italiano · ITPolitecnico di Milano · IT

Funding

Ministero della Salute IRCCS funding Ricerca Corrente
6 · The paper itself

Abstract

purposeIn acromegaly, skeletal complications resulted to be associated with low quality of life (QoL) and high risk of falls. The aim of the present study was to perform a quantitative assessment of movement through gait analysis technique in patients with acromegaly. STUDY POPULATION: Thirty-three acromegalic patients [9 with active disease (AD), 14 with controlled disease (CD) and 10 with disease remission (RD)] and 20 healthy subjects were enrolled for the study. MEASUREMENTS: Kinetic and kinematic data were collected with 3D-gait analysis. Kinematic data were processed to compute the Gait Profile Score (GPS), a parameter that summarizes the overall deviation of kinematic gait data relative to unaffected population.

resultsThe acromegalic group showed longer stance phase duration (p < 0.0001) compared to controls. The GPS and several gait variable scores resulted to be statistically higher in the acromegalic group compared to healthy controls. GPS values were significantly higher in AD compared to CD (p < 0.05) and RD groups (p = 0.001). The AD group presented significantly higher values in terms of hip rotation and ankle dorsiflexion compared to CD and RD groups and with regard to the foot progression compared to RD. Interestingly, patients with RD exhibited a more physiological gait pattern.

conclusionAcromegalic patients showed quantitative alterations of gait pattern, suggesting instability and increased risk of falls. Arthropathy, along with its associated abnormal joint loading, proprioceptive impairment and hyperkyphosis could be contributing factors. Disease control and remission appear to improve postural balance. A better knowledge on walking performance in acromegaly would help to develop specific rehabilitation programmes to reduce falls' risk and improve QoL.

Indexed as

AcromegalyGait AnalysisAdultAgedBiomechanical PhenomenaCase-Control StudiesCohort StudiesFemaleGaitHumansMaleMiddle AgedQuality of LifeAcromegalyArthropathyGait analysisQuality of lifeRisk of fall

Identifiers

PMID38416368
PMCPMC11393285
OpenAlexW4392239959

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.