Evidence map›Paper›PMID 26512214›Full record

ArticleJournal of the Medical Library Association : JMLA2015

Nuggets: findings shared in multiple clinical case reports.

Neil R Smalheiser, Weixiang Shao, Philip S Yu

Abstract read
In one paragraph

Article in Journal of the Medical Library Association : JMLA, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. A Gated Dilated Convolution with Attention Model for Clinical Cloze-Style Reading Comprehension.International journal of environmental research and public health · 2020
    Article
  3. Identifying main finding sentences in clinical case reports.Database : the journal of biological databases and curation · 2020
    Article
  4. A manual corpus of annotated main findings of clinical case reports.Database : the journal of biological databases and curation · 2019
    Article
  5. Article
  6. New journals for publishing medical case reports.Journal of the Medical Library Association : JMLA · 2016
    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.

Neil R Smalheiser
Weixiang Shao
Philip S Yu

Funding

LIFE CYCLE EVENTS, PRODUCTIVITY, AND SCIENTIFIC IMPACTP01AG039347 · NIA · NATIONAL BUREAU OF ECONOMIC RESEARCH · PI BHATTACHARYA, JAY · 2013 to 2018
$5.4M
Text Mining Pipeline to Accelerate Systematic Reviews in Evidence-Based MedicineR01LM010817 · NLM · UNIVERSITY OF ILLINOIS AT CHICAGO · PI COHEN, AARON M., SMALHEISER, NEIL R · 2010 to 2019
$4.5M
NIA NIH HHS P01 AG039347NLM NIH HHS R01 LM010817
6 · The paper itself

Abstract

objectiveThe researchers assessed prevalence in the clinical case report literature of multiple reports independently reporting the same (or nearly the same) main finding.

methodsResults from forty-five PubMed queries were examined for incidence and features of main findings ("nuggets") shared in at least four case reports.

resultsThe authors found that nuggets are surprisingly prevalent and large in the case report literature, the largest found so far was reported in seventeen articles. In most cases, the main findings of case reports were evident from examining titles alone.

conclusionsOur curated examples should serve as gold standards for developing specific automated methods for finding nuggets. Nuggets potentially enable finding-based (instead of topic-based) information retrieval.

Indexed as

Evidence-Based MedicineInformation Storage and RetrievalMedical InformaticsPubMedCase ReportsEvidence-Based MedicineInformation Storage and RetrievalMedical Informatics

Identifiers

PMID26512214
PMCPMC4613375

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.