Evidence map›Paper›PMID 28862395›Full record

ArticleAmerican journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics2018

Phelan-McDermid syndrome data network: Integrating patient reported outcomes with clinical notes and curated genetic reports.

Cartik Kothari, Maxime Wack, Claire Hassen-Khodja, Sean Finan, Guergana Savova, Megan O'Boyle, Geraldine Bliss, Andria Cornell, Elizabeth J Horn, Rebecca Davis and 3 more

Open access · hybridAbstract read
In one paragraph

Article in American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 21% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Retrospective Reports of Skill Attainment and Loss in Phelan-McDermid Syndrome.American journal on intellectual and developmental disabilities · 2025
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Finding commonalities in rare diseases through the undiagnosed diseases network.Journal of the American Medical Informatics Association : JAMIA · 2021
    Observational
  11. Review
  12. Phelan-McDermid syndrome data network: Integrating patient reported outcomes with clinical notes and curated genetic reports.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2018
    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

13 authors at 3 institutions in 1 country.

Cartik KothariDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts.
Maxime WackDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts.
Claire Hassen-KhodjaDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts.
Sean FinanBoston Children's Hospital, Boston, Massachusetts.
Guergana SavovaBoston Children's Hospital, Boston, Massachusetts.
Megan O'BoylePhelan-McDermid Syndrome Foundation, Venice, Florida.
Geraldine BlissPhelan-McDermid Syndrome Foundation, Venice, Florida.
Andria CornellPhelan-McDermid Syndrome Foundation, Venice, Florida.
Elizabeth J HornPhelan-McDermid Syndrome Foundation, Venice, Florida.
Rebecca DavisPhelan-McDermid Syndrome Foundation, Venice, Florida.
Jacquelyn JacobsPhelan-McDermid Syndrome Foundation, Venice, Florida.
Isaac KohaneDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts.
Paul AvillachDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0002-0235-7543
Phelan-McDermid Syndrome Foundation · USHarvard University · USBoston Children's Hospital · US

Funding

TrainingU54HG007963 · NHGRI · HARVARD MEDICAL SCHOOL · PI KOHANE, ISAAC S., MURPHY, SHAWN N · 2014 to 2018
$18.3M
Amazon Web Services EDU_R_FY2015_Q2_HarvardMedicalSchool_Avillach-NEWNHGRI NIH HHS U54 HG007963NIH HHS 1U54HG007963-01Patient-Centered Outcomes Research Institute PPRN-1306-04814
6 · The paper itself

Abstract

The heterogeneity of patient phenotype data are an impediment to the research into the origins and progression of neuropsychiatric disorders. This difficulty is compounded in the case of rare disorders such as Phelan-McDermid Syndrome (PMS) by the paucity of patient clinical data. PMS is a rare syndromic genetic cause of autism and intellectual deficiency. In this paper, we describe the Phelan-McDermid Syndrome Data Network (PMS_DN), a platform that facilitates research into phenotype-genotype correlation and progression of PMS by: a) integrating knowledge of patient phenotypes extracted from Patient Reported Outcomes (PRO) data and clinical notes-two heterogeneous, underutilized sources of knowledge about patient phenotypes-with curated genetic information from the same patient cohort and b) making this integrated knowledge, along with a suite of statistical tools, available free of charge to authorized investigators on a Web portal https://pmsdn.hms.harvard.edu. PMS_DN is a Patient Centric Outcomes Research Initiative (PCORI) where patients and their families are involved in all aspects of the management of patient data in driving research into PMS. To foster collaborative research, PMS_DN also makes patient aggregates from this knowledge available to authorized investigators using distributed research networks such as the PCORnet PopMedNet. PMS_DN is hosted on a scalable cloud based environment and complies with all patient data privacy regulations. As of October 31, 2016, PMS_DN integrates high-quality knowledge extracted from the clinical notes of 112 patients and curated genetic reports of 176 patients with preprocessed PRO data from 415 patients.

Indexed as

Autism Spectrum DisorderChromosome DeletionChromosome DisordersChromosomes, Human, Pair 22Cohort StudiesDatabases, GeneticData MiningFemaleGenetic Association StudiesHumansInformation Storage and RetrievalIntellectual DisabilityMaleMedical RecordsNerve Tissue ProteinsPatient Reported Outcome MeasuresNerve Tissue Proteinsclinical notesknowledge extractionknowledge integrationneuropsychiatric disorderspatient reported outcomesrare

Identifiers

PMID28862395
PMCPMC5832521
OpenAlexW2750934038

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.