Assessing the Quality of Electronic Data for 'Fit-for-Purpose' by Utilizing Data Profiling Techniques Prior to Conducting a Survival Analysis for Adults with Acute Lymphoblastic Leukemia.

Victoria Ngo, Theresa H Keegan, Brian A Jonas, Michael Hogarth, Katherine K Kim

Open access · greenAbstract read

In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2020. 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

0.1field-weighted citation impact, top 44% of its field

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, 2 citations in OpenAlex.

Data Challenges for Externally Controlled Trials: Viewpoint.Journal of medical Internet research · 2023
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

5 authors at 2 institutions in 1 country.

Victoria NgoBetty Irene Moore School of Nursing, University of California Davis, Sacramento, CA.

Theresa H KeeganDivision of Hematology and Oncology, School of Medicine, University of California Davis, Sacramento, CA.

Brian A JonasDivision of Hematology and Oncology, School of Medicine, University of California Davis, Sacramento, CA.

Michael HogarthDepartment of Biomedical Informatics, School of Medicine, University of California San Diego, La Jolla, CA.

Katherine K KimBetty Irene Moore School of Nursing, University of California Davis, Sacramento, CA.

UC Davis Health System · USUniversity of California, Davis · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute lymphoblastic leukemia affects both children and adults. Rising costs of cancer care and patient burden contribute to the need to study factors influencing outcomes. This study explored the quality of datasets generated from a clinical research institution. The 'fit-for-use' of data prior to examining survival/complications was determined through a systematic approach guided by the Weiskopf et al. 3x3 Data Quality Assessment Framework. Constructs of completeness, correctness, and currency were explored for the data dimensions of patient, variables, and time. There were 11 types of data retrieved. Sufficient data points were found for patient and variable data in each dataset (≥70% of its cells filled with patient level data). Although there was concordance between variables, we found the distribution of lab values and death data to be incorrect. There were missing values for labs ordered and death dates. Our study showed that datasets retrieved can vary, even from the same institution.

Indexed as

Data AccuracyPrecursor Cell Lymphoblastic Leukemia-LymphomaAdolescentAdultCancer SurvivorsElectronicsHumansSurvival Analysis

Identifiers

PMID33936467

PMCPMC8075459

OpenAlexW3158464229

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.