Evidence map›Paper›PMID 37444480›Full record

ArticleCancers2023

Examining Final-Administered Medication as a Measure of Data Quality: A Comparative Analysis of Death Data with the Central Cancer Registry in Republic of Korea.

Yae Won Tak, Jeong Hyun Han, Yu Jin Park, Do-Hoon Kim, Ji Seon Oh, Yura Lee

Abstract read
In one paragraph

Article in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

6 authors.

Yae Won TakDepartment of Information Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Republic of Korea.ORCID 0000-0002-6639-9013
Jeong Hyun HanDepartment of Information Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Republic of Korea.
Yu Jin ParkMedical Information-Management Team, Asan Medical Center, Seoul 05505, Republic of Korea.
Do-Hoon KimMedical Big Data Research Center, Kyungpook National University Hospital, Daegu 41944, Republic of Korea.ORCID 0000-0003-3703-9796
Ji Seon OhDepartment of Information Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Republic of Korea.ORCID 0000-0002-0205-6492
Yura LeeDepartment of Information Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Republic of Korea.ORCID 0000-0003-2048-3727

Funding

Asan Institute of Life Sciences, Asan Medical Center, Seoul, Korea 2021IP0072-1
6 · The paper itself

Abstract

Death is a crucial outcome in retrospective cohort studies, serving as a criterion for analyzing mortality in a database. This study aimed to assess the quality of extracted death data and investigate the potential of the final-administered medication as a variable to quantify accuracy for the validation dataset. Electronic health records from both an in-hospital and the Korean Central Cancer Registry were used for this study. The gold standard was established by examining the differences between the dates of in-hospital deaths and cancer-registered deaths. Cosine similarity was employed to quantify the final-administered medication similarities between the gold standard and other cohorts. The gold standard was determined as patients who died in the hospital after 2006 and whose final hospital visit/discharge date and death date differed by 0 or 1 day. For all three criteria-(a) cancer stage, (b) cancer type, and (c) type of final visit-there was a positive correlation between mortality rates and the similarities of the final-administered medication. This study introduces a measure that can provide additional accurate information regarding death and differentiates the reliability of the dataset.

Indexed as

data accuracydata qualitydeathmortalitypublic data

Identifiers

PMID37444480
PMCPMC10341326

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.