Evidence map›Paper›PMID 23396299›Full record

ArticleDatabase : the journal of biological databases and curation2013

'What's in the NIDDK CDR?'--public query tools for the NIDDK central data repository.

Huaqin Pan, Mary-Anne Ardini, Vesselina Bakalov, Michael DeLatte, Paul Eggers, Laxminarayana Ganapathi, Craig R Hollingsworth, Joshua Levy, Sheping Li, Joseph Pratt and 11 more

Abstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

21 authors.

Huaqin PanRTI International, Social, Statistical and Environmental Sciences, PO Box 12194, Research Triangle Park, NC 27709, USA.
Mary-Anne Ardini
Vesselina Bakalov
Michael DeLatte
Paul Eggers
Laxminarayana Ganapathi
Craig R Hollingsworth
Joshua Levy
Sheping Li
Joseph Pratt
Norma Pugh
Ying Qin
Rebekah Rasooly
Helen Ray
Jean E Richardson
Amanda Flynn Riley
Susan M Rogers
Sylvia Tan
Charles F Turner
Stacie White
Philip C Cooley

Funding

PHS HHS HHSN: 267200800015CPHS HHS HHSN: 267200800016CPHS HHS HHSN267200800016CPHS HHS HHSN: 267200800018C
6 · The paper itself

Abstract

The National Institute of Diabetes and Digestive Disease (NIDDK) Central Data Repository (CDR) is a web-enabled resource available to researchers and the general public. The CDR warehouses clinical data and study documentation from NIDDK funded research, including such landmark studies as The Diabetes Control and Complications Trial (DCCT, 1983-93) and the Epidemiology of Diabetes Interventions and Complications (EDIC, 1994-present) follow-up study which has been ongoing for more than 20 years. The CDR also houses data from over 7 million biospecimens representing 2 million subjects. To help users explore the vast amount of data stored in the NIDDK CDR, we developed a suite of search mechanisms called the public query tools (PQTs). Five individual tools are available to search data from multiple perspectives: study search, basic search, ontology search, variable summary and sample by condition. PQT enables users to search for information across studies. Users can search for data such as number of subjects, types of biospecimens and disease outcome variables without prior knowledge of the individual studies. This suite of tools will increase the use and maximize the value of the NIDDK data and biospecimen repositories as important resources for the research community. Database URL: https://www.niddkrepository.org/niddk/home.do.

Indexed as

Databases as TopicNational Institute of Diabetes and Digestive and Kidney Diseases (U.S.)Search EngineFemaleHumansInternetMaleUnited States

Identifiers

PMID23396299
PMCPMC3625049

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.