Evidence map›Paper›PMID 27148566›Full record

ArticleCold Spring Harbor molecular case studies2015

Capturing phenotypes for precision medicine.

Peter N Robinson, Christopher J Mungall, Melissa Haendel

Registry-linked trialAbstract read
In one paragraph

Article in Cold Spring Harbor molecular case studies, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07427927 (Data-driven Clustering in Hemorrhoid Surgery), which is not on this map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
–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.

NCT07427927 enrolling by invitationnot on this mapstarted 2024, after this paper: background citation

Data-driven Clustering in Hemorrhoid Surgery: Retrospective Monocentric Study for the Identification of Clinical Phenotypes

TypeobservationalSponsorIRCCS Policlinico S. DonatoRan2024 to 2026Enrolled100ConditionsHemorrhoid, Hemorrhoid ProlapseArmsAny surgical procedure for hemorrhoidal disease
3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Deep Phenotyping of Parkinson's Disease.Journal of Parkinson's disease · 2020
    Review
  14. Data-driven method to enhance craniofacial and oral phenotype vocabularies.Journal of the American Dental Association (1939) · 2019
    Article
  15. Exploring the dark genome: implications for precision medicine.Mammalian genome : official journal of the International Mammalian Genome Society · 2019
    Review
  16. Article
  17. Merging heterogeneous clinical data to enable knowledge discovery.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2019
    Article
  18. Article
  19. 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
  20. 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

3 authors.

Peter N RobinsonInstitute for Medical Genetics and Human Genetics, Charité-Universitätsmedizin Berlin, 10117 Berlin, Germany;; Max Planck Institute for Molecular Genetics, 14195 Berlin, Germany;; Berlin Brandenburg Center for Regenerative Therapies (BCRT), Charité-Universitätsmedizin Berlin, 13353 Berlin, Germany;; Institute for Bioinformatics, Department of Mathematics and Computer Science, Freie Universität Berlin, 14195 Berlin, Germany;
Christopher J MungallLawrence Berkeley National Laboratory, Berkeley, California 94720, USA;
Melissa HaendelOregon Health and Science University, Portland, Oregon 97239, USA.

Funding

The Monarch Initiative: Linking Diseases to Model Organism ResourcesR24OD011883 · OD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HAENDEL, MELISSA A, MUNGALL, CHRISTOPHER J · 2012 to 2024
$16.0M
NIH HHS R24 OD011883
6 · The paper itself

Abstract

Deep phenotyping followed by integrated computational analysis of genotype and phenotype is becoming ever more important for many areas of genomic diagnostics and translational research. The overwhelming majority of clinical descriptions in the medical literature are available only as natural language text, meaning that searching, analysis, and integration of medically relevant information in databases such as PubMed is challenging. The new journal Cold Spring Harbor Molecular Case Studies will require authors to select Human Phenotype Ontology terms for research papers that will be displayed alongside the manuscript, thereby providing a foundation for ontology-based indexing and searching of articles that contain descriptions of phenotypic abnormalities-an important step toward improving the ability of researchers and clinicians to get biomedical information that is critical for clinical care or translational research.

Identifiers

PMID27148566
PMCPMC4850887

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Registered trials

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.