Evidence map›Paper›PMID 30305770›Full record

ArticleProceedings of the conference. Association for Computational Linguistics. Meeting2018

A Corpus with Multi-Level Annotations of Patients, Interventions and Outcomes to Support Language Processing for Medical Literature.

Benjamin Nye, Junyi Jessy Li, Roma Patel, Yinfei Yang, Iain J Marshall, Ani Nenkova, Byron C Wallace

Abstract read
In one paragraph

Article in Proceedings of the conference. Association for Computational Linguistics. Meeting, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed, 3 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

71 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. A span-based model for extracting overlapping PICO entities from randomized controlled trial publications.Journal of the American Medical Informatics Association : JAMIA · 2024
    Trial
  5. EvidenceMap: a three-level knowledge representation for medical evidence computation and comprehension.Journal of the American Medical Informatics Association : JAMIA · 2023
    Trial
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  16. Review
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11 more citing papers are in PubMed but not listed here.

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

7 authors.

Benjamin NyeNortheastern University, nye.b@husky.neu.edu.
Junyi Jessy LiUT Austin, jessy@austin.utexas.edu.
Roma PatelRutgers University, romapatel996@gmail.com.
Yinfei Yangyangyin7@gmail.com.
Iain J MarshallKing's College London, iain.marshall@kcl.ac.uk.
Ani NenkovaUPenn, nenkova@seas.upenn.edu.
Byron C WallaceNortheastern University, b.wallace@northeastern.edu.

Funding

Crowdsourcing Mark-up of the Medical Literature to Support Evidence-Based Medicine and Develop Automated Annotation CapabilitiesUH2CA203711 · NCI · NORTHEASTERN UNIVERSITY · PI IVES, ZACHARY, NENKOVA, ANI · 2016 to 2017
$451k
Medical Research Council MR/N015185/1NCI NIH HHS UH2 CA203711
6 · The paper itself

Abstract

We present a corpus of 5,000 richly annotated abstracts of medical articles describing clinical randomized controlled trials. Annotations include demarcations of text spans that describe the Patient population enrolled, the Interventions studied and to what they were Compared, and the Outcomes measured (the 'PICO' elements). These spans are further annotated at a more granular level, e.g., individual interventions within them are marked and mapped onto a structured medical vocabulary. We acquired annotations from a diverse set of workers with varying levels of expertise and cost. We describe our data collection process and the corpus itself in detail. We then outline a set of challenging NLP tasks that would aid searching of the medical literature and the practice of evidence-based medicine.

Identifiers

PMID30305770
PMCPMC6174533

What OpenQuestion holds

Textmetadata
LicenceTDM
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.