Evidence map›Paper›PMID 38304249›Full record

ArticleJAMIA open2024

An open-source platform for pediatric cancer data exploration: a report from Data for the Common Good.

Kirk D Wyatt, Luca Graglia, Brian Furner, Bobae Kang, Michael Fitzsimons, Robert L Grossman, Samuel L Volchenboum

Abstract readCase Reports
In one paragraph

Article in JAMIA open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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.

Kirk D WyattDepartment of Pediatric Hematology/Oncology, Roger Maris Cancer Center, Sanford Health, Fargo, ND 58102, United States.
Luca GragliaData for the Common Good, University of Chicago, Chicago, IL 60637, United States.
Brian FurnerData for the Common Good, University of Chicago, Chicago, IL 60637, United States.
Bobae KangData for the Common Good, University of Chicago, Chicago, IL 60637, United States.
Michael FitzsimonsCenter for Translational Data Science, University of Chicago, Chicago, IL 60637, United States.
Robert L GrossmanCenter for Translational Data Science, University of Chicago, Chicago, IL 60637, United States.ORCID https://orcid.org/0000-0003-3741-5739
Samuel L VolchenboumData for the Common Good, University of Chicago, Chicago, IL 60637, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The Pediatric Cancer Data Commons (PCDC)-a project of Data for the Common Good-houses clinical pediatric oncology data and utilizes the open-source Gen3 platform. To meet the needs of end users, the PCDC development team expanded the out-of-box functionality and developed additional custom features that should be useful to any group developing similar data commons. Materials and Methods: Modifications of the PCDC data portal software were implemented to facilitate desired functionality. Results: Newly developed functionality includes updates to authorization methods, expansion of filtering capabilities, and addition of data analysis functions. Discussion: We describe the process by which custom functionalities were developed. Features are open source and available to be implemented and adapted to suit needs of data portals that utilize the Gen3 platform. Conclusion: Data portals are indispensable tools for facilitating data sharing. Open-source infrastructure facilitates a modular and collaborative approach for meeting needs of end users and stakeholders.

Indexed as

data commonsdata visualization (MeSH)health information management (MeSH)pediatric oncology

Identifiers

PMID38304249
PMCPMC10833446

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.