Evidence map›Paper›PMID 30773591›Full record

ArticleDatabase : the journal of biological databases and curation2019

A cross-source, system-agnostic solution for clinical data review.

Michael A Farnum, Mathangi Ashok, Daniel Kowalski, Fang Du, Lalit Mohanty, Paul Konstant, Joseph Ciervo, Victor S Lobanov, Dimitris K Agrafiotis

Abstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Michael A FarnumCovance, the Drug Development Division of LabCorp, 210 Carnegie Center, Princeton, NJ, USA.
Mathangi AshokCovance, the Drug Development Division of LabCorp, 210 Carnegie Center, Princeton, NJ, USA.
Daniel KowalskiCovance, the Drug Development Division of LabCorp, 210 Carnegie Center, Princeton, NJ, USA.
Fang DuCovance, the Drug Development Division of LabCorp, 210 Carnegie Center, Princeton, NJ, USA.
Lalit MohantyCovance, the Drug Development Division of LabCorp, 210 Carnegie Center, Princeton, NJ, USA.
Paul KonstantCovance, the Drug Development Division of LabCorp, 210 Carnegie Center, Princeton, NJ, USA.
Joseph CiervoCovance, the Drug Development Division of LabCorp, 210 Carnegie Center, Princeton, NJ, USA.
Victor S LobanovCovance, the Drug Development Division of LabCorp, 210 Carnegie Center, Princeton, NJ, USA.
Dimitris K AgrafiotisCovance, the Drug Development Division of LabCorp, 210 Carnegie Center, Princeton, NJ, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Assembly of complete and error-free clinical trial data sets for statistical analysis and regulatory submission requires extensive effort and communication among investigational sites, central laboratories, pharmaceutical sponsors, contract research organizations and other entities. Traditionally, this data is captured, cleaned and reconciled through multiple disjointed systems and processes, which is resource intensive and error prone. Here, we introduce a new system for clinical data review that helps data managers identify missing, erroneous and inconsistent data and manage queries in a unified, system-agnostic and efficient way. Our solution enables timely and integrated access to all study data regardless of source, facilitates the review of validation and discrepancy checks and the management of the resulting queries, tracks the status of page review, verification and locking activities, monitors subject data cleanliness and readiness for database lock and provides extensive configuration options to meet any study's needs, automation for regular updates and fit-for-purpose user interfaces for global oversight and problem detection.

Indexed as

Clinical Trials as TopicDatabases as TopicData Warehousing

Identifiers

PMID30773591
PMCPMC6378235

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.