Evidence map›Paper›PMID 34196957›Full record

ArticleTherapeutic innovation & regulatory science2021

elaborator: A Novel App for Insights into Laboratory Data of Clinical Trials.

Silke Janitza, Madhurima Majumder, Franco Mendolia, Steffen Jeske, Hermann Kulmann

Erratum issuedAbstract read
PubMed Publisher
In one paragraph

Article in Therapeutic innovation & regulatory science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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. RegionSizeR- A Novel App for Regional Sample Size Planning in MRCTs.Therapeutic innovation & regulatory science · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Silke JanitzaResearch & Development, Pharmaceuticals, Statistics and Data Insights, Bayer AG, 13342, Berlin, Germany. silke.janitza@bayer.com.
Madhurima MajumderBayer US LLC, Whippany, NJ, USA.
Franco MendoliaBayer AG, Wuppertal, Germany.
Steffen JeskeChrestos Concept GmbH & Co. KG, Essen, Germany.
Hermann KulmannResearch & Development, Pharmaceuticals, Statistics and Data Insights, Bayer AG, 13342, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In clinical studies there are huge numbers of laboratory parameters available that are measured at several visits for several treatment groups. The status quo for presenting laboratory data in clinical trials consists in generating large numbers of tables and data listings. Such tables and listings are required for submissions to health authorities. However, reviewing laboratory data presented in the form of tables and listings is a lengthy and tedious process. Thus, to enable efficient exploration of laboratory data we developed elaborator, a comprehensive and easy-to-use interactive browser-based application. The elaborator app comprises three analyses types for addressing different questions, for example about changes in laboratory values that frequently occur, treatment-related changes and changes beyond the normal ranges. In this way, the app can be used by study teams for identifying safety signals in a clinical trial as well as for generating hypotheses that are further inspected with detailed analyses and possibly data from other sources. The elaborator app is implemented in the statistical software R. The R package elaborator can be obtained from https://cran.r-project.org/package=elaborator . Patients' laboratory data need to be extracted from the clinical database and pre-processed locally for feeding into the app. For exploring data by means of the elaborator, the user needs some familiarity with R but no programming knowledge is required.

Indexed as

LaboratoriesMobile ApplicationsHumansClinical laboratory dataClinical reviewClinical trialData explorationInteractive data visualizationQuestion-based visualization

Identifiers

PMID34196957

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.