Evidence map›Paper›PMID 26433122›Full record

ArticleJournal of biomedical informatics2015

Creation of a new longitudinal corpus of clinical narratives.

Vishesh Kumar, Amber Stubbs, Stanley Shaw, Özlem Uzuner

Abstract read
In one paragraph

Article in Journal of biomedical informatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Cross- & multi-lingual medication detection: a transformer-based analysis.BMC medical informatics and decision making · 2025
    Article
  5. Clinical natural language processing for secondary uses.Journal of biomedical informatics · 2024
    Article
  6. Review
  7. Article
  8. Capturing Individual-level Social Determinants from Clinical Text.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2023
    Article
  9. Article
  10. Classifying Cyber-Risky Clinical Notes by Employing Natural Language Processing.Proceedings of the ... Annual Hawaii International Conference on System Sciences. Annual Hawaii International Conference on System Sciences · 2022
    Article
  11. Transferability of neural network clinical deidentification systems.Journal of the American Medical Informatics Association : JAMIA · 2021
    Article
  12. Toward Understanding Clinical Context of Medication Change Events in Clinical Narratives.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2021
    Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  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

4 authors.

Vishesh KumarDartmouth-Hitchcock Medical Center, Division of Cardiology, Lebanon, NH, USA.
Amber StubbsSchool of Library and Information Science, Simmons College, Boston, MA, USA. Electronic address: stubbs@simmons.edu.
Stanley ShawHarvard Medical School, Boston, MA 02115, USA; Center for Systems Biology, Massachusetts General Hospital, Boston, MA 02114, USA.
Özlem UzunerDepartment of Information Studies, State University of New York at Albany, Albany, NY, USA.

Funding

Informatics for Integrating Biology/ the Bedside (RMI)U54LM008748 · NLM · BRIGHAM AND WOMEN'S HOSPITAL · PI KOHANE, ISAAC S. · 2004 to 2013
$39.0M
Natural language processing for clinical and translational researchR01GM102282 · NIGMS · MAYO CLINIC ROCHESTER · PI LIU, HONGFANG, PAKHOMOV, SERGUEI VS · 2013 to 2016
$2.5M
Challenges in Natural Language Processing in Clinical TextR13LM011411 · NLM · STATE UNIVERSITY OF NEW YORK AT ALBANY · PI UZUNER, OZLEM · 2012 to 2016
$98k
NIGMS NIH HHS R01 GM102282NLM NIH HHS R13 LM011411NLM NIH HHS U54 LM008748
6 · The paper itself

Abstract

The 2014 i2b2/UTHealth Natural Language Processing (NLP) shared task featured a new longitudinal corpus of 1304 records representing 296 diabetic patients. The corpus contains three cohorts: patients who have a diagnosis of coronary artery disease (CAD) in their first record, and continue to have it in subsequent records; patients who do not have a diagnosis of CAD in the first record, but develop it by the last record; patients who do not have a diagnosis of CAD in any record. This paper details the process used to select records for this corpus and provides an overview of novel research uses for this corpus. This corpus is the only annotated corpus of longitudinal clinical narratives currently available for research to the general research community.

Indexed as

NarrationNatural Language ProcessingAgedBostonCohort StudiesComorbidityComputer SecurityConfidentialityCoronary Artery DiseaseData MiningDiabetes ComplicationsElectronic Health RecordsFemaleHumansIncidenceMaleCorpusMachine learningMedical recordsNLP

Identifiers

PMID26433122
PMCPMC4978168

What OpenQuestion holds

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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.