Evidence map›Paper›PMID 14728241›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2003

A distributed, collaborative, structuring model for a clinical-guideline digital-library.

Yuval Shahar, Erez Shalom, Alon Mayaffit, Ohad Young, Maya Galperin, Susana Martins, Mary Goldstein

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Semantic clinical guideline documents.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2005
    Article
  3. 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

7 authors.

Yuval ShaharDepartment of Information Systems Engineering, Ben Gurion University, Beer Sheva, Israel.
Erez Shalom
Alon Mayaffit
Ohad Young
Maya Galperin
Susana Martins
Mary Goldstein

Funding

INTELLIGENT CRITIQUING OF CLINICAL-GUIDELINE APPLICATIONR01LM006806 · NLM · STANFORD UNIVERSITY · PI GOLDSTEIN, MARY K · 2000 to 2003
$896k
NLM NIH HHS LM-06806NLM NIH HHS R01 LM006806
6 · The paper itself

Abstract

The Digital Electronic Guideline Library (DeGeL) is a Web-based framework and a set of distributed tools that facilitate gradual conversion of clinical guidelines from free text, through semi-structured text, to a fully structured, executable representation. Thus, guidelines exist in a hybrid, multiple-format representation The three formats support increasingly sophisticated computational tasks. The tools perform semantic markup, classification, search, and browsing, and support computational modules that we are developing, for run-time application and retrospective quality assessment. We describe the DeGeL architecture and its collaborative-authoring authorization model, which is based on (1) multiple medical-specialty authoring groups, each including a group manager who controls group authorizations, and (2) a hierarchical authorization model based on the different functions involved in the hybrid guideline-specification process. We have implemented the core modules of the DeGeL architecture and demonstrated distributed markup and retrieval using the knowledge roles of two guidelines ontologies (Asbru and GEM). We are currently evaluating several of the DeGeL tools.

Indexed as

Libraries, DigitalPractice Guidelines as TopicComputer Communication NetworksDecision Support Systems, ClinicalExpert SystemsHumansInformation Storage and RetrievalInternetUser-Computer InterfaceVocabulary, Controlled

Identifiers

PMID14728241
PMCPMC1480281

What OpenQuestion holds

Textmetadata
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.