Evidence map›Paper›PMID 25246425›Full record

ArticleDatabase : the journal of biological databases and curation2014

Hybrid curation of gene-mutation relations combining automated extraction and crowdsourcing.

John D Burger, Emily Doughty, Ritu Khare, Chih-Hsuan Wei, Rajashree Mishra, John Aberdeen, David Tresner-Kirsch, Ben Wellner, Maricel G Kann, Zhiyong Lu and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Database : the journal of biological databases and curation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing 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.

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

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

  1. Mapping of Crowdsourcing in Health: Systematic Review.Journal of medical Internet research · 2018
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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

11 authors.

John D BurgerThe MITRE Corporation, Bedford, MA 01730, USA, Biomedical Informatics Program, Stanford University, Stanford, CA 94305, USA, National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA and The University of Maryland, Baltimore County, Baltimore MD 21250, USA john@mitre.org.
Emily DoughtyThe MITRE Corporation, Bedford, MA 01730, USA, Biomedical Informatics Program, Stanford University, Stanford, CA 94305, USA, National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA and The University of Maryland, Baltimore County, Baltimore MD 21250, USA.
Ritu KhareThe MITRE Corporation, Bedford, MA 01730, USA, Biomedical Informatics Program, Stanford University, Stanford, CA 94305, USA, National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA and The University of Maryland, Baltimore County, Baltimore MD 21250, USA.
Chih-Hsuan WeiThe MITRE Corporation, Bedford, MA 01730, USA, Biomedical Informatics Program, Stanford University, Stanford, CA 94305, USA, National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA and The University of Maryland, Baltimore County, Baltimore MD 21250, USA.
Rajashree MishraThe MITRE Corporation, Bedford, MA 01730, USA, Biomedical Informatics Program, Stanford University, Stanford, CA 94305, USA, National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA and The University of Maryland, Baltimore County, Baltimore MD 21250, USA.
John AberdeenThe MITRE Corporation, Bedford, MA 01730, USA, Biomedical Informatics Program, Stanford University, Stanford, CA 94305, USA, National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA and The University of Maryland, Baltimore County, Baltimore MD 21250, USA.
David Tresner-KirschThe MITRE Corporation, Bedford, MA 01730, USA, Biomedical Informatics Program, Stanford University, Stanford, CA 94305, USA, National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA and The University of Maryland, Baltimore County, Baltimore MD 21250, USA.
Ben WellnerThe MITRE Corporation, Bedford, MA 01730, USA, Biomedical Informatics Program, Stanford University, Stanford, CA 94305, USA, National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA and The University of Maryland, Baltimore County, Baltimore MD 21250, USA.
Maricel G KannThe MITRE Corporation, Bedford, MA 01730, USA, Biomedical Informatics Program, Stanford University, Stanford, CA 94305, USA, National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA and The University of Maryland, Baltimore County, Baltimore MD 21250, USA.
Zhiyong LuThe MITRE Corporation, Bedford, MA 01730, USA, Biomedical Informatics Program, Stanford University, Stanford, CA 94305, USA, National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA and The University of Maryland, Baltimore County, Baltimore MD 21250, USA.
Lynette HirschmanThe MITRE Corporation, Bedford, MA 01730, USA, Biomedical Informatics Program, Stanford University, Stanford, CA 94305, USA, National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA and The University of Maryland, Baltimore County, Baltimore MD 21250, USA lynette@mitre.org.

Funding

POSTDOCTORAL TRAINING IN MEDICAL INFORMATION SCIENCEST15LM007033 · NLM · STANFORD UNIVERSITY · PI SYLVIA KATINA PLEVRITIS · 1985 to 2026
$25.5M
Named Entity Recognition and Relationship Extraction in BiomedicineZIALM091813 · NLM · NATIONAL LIBRARY OF MEDICINE · PI LU, ZHIYONG · 2013 to 2022
$13.4M
Protein domains as molecular units to unravel functional pathways of cancer genesK22CA143148 · NCI · UNIVERSITY OF MARYLAND BALTIMORE COUNTY · PI KANN, MARICEL G. · 2009 to 2011
$490k
NCI NIH HHS 1K22CA143148NCI NIH HHS K22 CA143148NLM NIH HHS T15 LM007033
6 · The paper itself

Abstract

backgroundThis article describes capture of biological information using a hybrid approach that combines natural language processing to extract biological entities and crowdsourcing with annotators recruited via Amazon Mechanical Turk to judge correctness of candidate biological relations. These techniques were applied to extract gene- mutation relations from biomedical abstracts with the goal of supporting production scale capture of gene-mutation-disease findings as an open source resource for personalized medicine.

resultsThe hybrid system could be configured to provide good performance for gene-mutation extraction (precision ∼82%; recall ∼70% against an expert-generated gold standard) at a cost of $0.76 per abstract. This demonstrates that crowd labor platforms such as Amazon Mechanical Turk can be used to recruit quality annotators, even in an application requiring subject matter expertise; aggregated Turker judgments for gene-mutation relations exceeded 90% accuracy. Over half of the precision errors were due to mismatches against the gold standard hidden from annotator view (e.g., incorrect EntrezGene identifier or incorrect mutation position extracted), or incomplete task instructions (e.g., the need to exclude nonhuman mutations).

conclusionsThe hybrid curation model provides a readily scalable cost-effective approach to curation, particularly if coupled with expert human review to filter precision errors. We plan to generalize the framework and make it available as open source software. DATABASE URL: http://www.mitre.org/publications/technical-papers/hybrid-curation-of-gene-mutation-relations-combining-automated.

Indexed as

Genetic Predisposition to DiseaseNatural Language ProcessingComputational BiologyCrowdsourcingDatabases, GeneticData CurationGenomicsHumansInformation Storage and RetrievalMutation

Identifiers

PMID25246425
PMCPMC4170591

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.