Evidence map›Paper›PMID 40121796›Full record

ArticleMolecular genetics and metabolism2025

Goal attainment in PMM2-CDG: A new approach measuring meaningful clinical outcomes.

Sanne Verberkmoes, Gina L Mazza, Andrew C Edmondson, Fernando Scaglia, Seishu Horikoshi, Bryce Kuschel, Mirian C H Janssen, Jehan Mousa, Austin Larson, Rameen Shah and 6 more

Abstract read
In one paragraph

Article in Molecular genetics and metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Review
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

16 authors.

Sanne VerberkmoesDepartment of Clinical Genomics, Mayo Clinic, Rochester, MN, USA; Radboud University Nijmegen, Department of Internal Medicine, Nijmegen, NL, the Netherlands.
Gina L MazzaDivision of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences, Mayo Clinic, Scottsdale, AZ, USA.
Andrew C EdmondsonDivision of Human Genetics, Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Fernando ScagliaDepartment of Molecular & Human Genetics, Baylor College of Medicine, Houston, TX, USA; Texas Children's Hospital, Houston, TX, USA; Joint BCM-CUHK Center of Medical Genetics, Prince of Wales Hospital, Hong Kong SAR, China.
Seishu HorikoshiNorcliffe Foundation Center for Integrative Brain Research, Seattle Children's Research Institute, Seattle, WA, USA.
Bryce KuschelDepartment of Clinical Genomics, Mayo Clinic, Rochester, MN, USA.
Mirian C H JanssenRadboud University Nijmegen, Department of Internal Medicine, Nijmegen, NL, the Netherlands.
Jehan MousaDepartment of Internal Medicine, MedStar Health-Georgetown University, Baltimore, MD, United States of America.
Austin LarsonDepartment of Pediatrics, University of Colorado School of Medicine, Aurora, CO, USA.
Rameen ShahDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.
Georgia McDonaldDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.
Kyriaki SarafoglouDivisions of Endocrinology, and Genetics and Metabolism, Department of Pediatrics, University of Minnesota Medical School, Minneapolis, MN, USA.
Gerard BerryDivision of Genetics and Genomics, Department of Pediatrics, Boston Children's Hospital, Boston, MA, USA.
Tamas KoziczDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York City, NY, USA; Department of Anatomy, University of Pecs Medical School, 7624 Pecs, Hungary.
Christina LamNorcliffe Foundation Center for Integrative Brain Research, Seattle Children's Research Institute, Seattle, WA, USA; Department of Pediatrics, University of Washington and Seattle Children's Hospital, Seattle, WA, USA.
Eva MoravaDepartment of Clinical Genomics, Mayo Clinic, Rochester, MN, USA; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York City, NY, USA; Department of Biophysics, University of Pecs Medical School, 7624 Pecs, Hungary. Electronic address: eva.morava@mssm.edu.

Funding

Pilot and Feasibility CoreU54NS115198 · NINDS · MAYO CLINIC ROCHESTER · PI MORAVA-KOZICZ, EVA · 2019 to 2023
$8.2M
NINDS NIH HHS U54 NS115198
6 · The paper itself

Abstract

Patient-centered outcomes, including patient-reported outcomes (PROs), are increasingly important in healthcare and research, though their use in rare diseases remains limited. In disorders with significant phenotypic variation, selecting appropriate outcome measures is crucial to ensuring the relevance of clinical trials for the patient population. Phosphomannomutase 2-CDG (PMM2-CDG) involves a complex genotype-phenotype relationship, making it challenging to predict clinical outcomes and select reliable measures for clinical trials. Caused by biallelic pathogenic variants in the PMM2, PMM2-CDG displays highly variable clinical severity, underscoring the need for personalized outcome measures. One such so far unexplored, individualized approach is Goal Attainment Scaling (GAS), which allows patients to set and track personal goals over time. We evaluated 93 PMM2-CDG patients enrolled in the Frontiers in Congenital Disorders of Glycosylation Consortium (FCDGC) Natural History study, classifying patient goals using the International Classification of Functioning, Disability, and Health (ICF) model, and assessing goal achievement prospectively. We also analyzed potential associations between GAS and factors such as age, sex, genetic background, and disease severity measured by the Nijmegen Progression CDG Rating Scale (NPCRS). The most common goals set by patients were related to mobility (31.5 %) and communication (26.8 %), with additional goals focused on body function (22.8 %) and independence (18.8 %). Of the 68 patients with follow-up data, 23.5 % showed no improvement in their goals, while 20.6 % improved in all three personal goals. Patients with pathogenic variants affecting the PMM2 dimerization domain had lower GAS improvement scores (M = 1.3 [SD = 1.1]) compared to those without such variants (M = 2.2 [SD = 1.7], p = 0.03). There was no significant correlation between NPCRS score changes and GAS improvement (r = -0.18, p = 0.19). GAS is a valuable additional outcome measure that ensures clinical improvements are meaningful for patients and their representatives, helping to assess individual goals and overall wellbeing.

Indexed as

Congenital Disorders of GlycosylationPhosphotransferases (Phosphomutases)AdolescentAdultChildChild, PreschoolFemaleGoalsHumansInfantMaleMiddle AgedPatient Reported Outcome MeasuresPhenotypeSeverity of Illness IndexYoung Adultphosphomannomutase 2, humanPhosphotransferases (Phosphomutases)Genotype-phenotype, congenital disorders of glycosylationGoal attainment scalingPatient reported outcomePhosphomannomutase

Identifiers

PMID40121796
PMCPMC12034467

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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.