Evidence map›Paper›PMID 36339930›Full record

ArticleTherapeutic advances in medical oncology2022

Data collection framework for electronic medical record-based real-world data to evaluate the effectiveness and safety of cancer drugs: a nationwide real-world study of the Korean Cancer Study Group.

Hye Sook Han, Kyoung Eun Lee, Young Ju Suh, Hee-Jung Jee, Bum Jun Kim, Hyeong Su Kim, Keun-Wook Lee, Min-Hee Ryu, Sun Kyung Baek, In Hae Park and 12 more

Open access · goldAbstract read
In one paragraph

Article in Therapeutic advances in medical oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 49% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. A Standardized Guideline for Assessing Extracted Electronic Health Records Cohorts: A Scoping Review.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2025
    Article
  2. Article
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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

22 authors at 11 institutions in 1 country.

Hye Sook HanDepartment of Internal Medicine, Chungbuk National University College of Medicine, Chungbuk National University Hospital, Cheongju, Republic of Korea.
Kyoung Eun LeeDepartment of Hematology and Oncology, Ewha Womans University Hospital, Seoul, Republic of Korea.
Young Ju SuhDepartment of Biomedical Sciences, College of Medicine, Inha University, Incheon, Republic of Korea.
Hee-Jung JeeDepartment of Biostatistics, College of Medicine, Korea University, Seoul, Republic of Korea.
Bum Jun KimDepartment of Internal Medicine, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang-si, Republic of Korea.
Hyeong Su KimDepartment of Internal Medicine, Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul, Republic of Korea.
Keun-Wook LeeDepartment of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea.
Min-Hee RyuDepartment of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Sun Kyung BaekDepartment of Internal Medicine, Kyung Hee University Medical Center, Seoul, Republic of Korea.
In Hae ParkDepartment of Internal Medicine, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea.
Hee Kyung AhnDepartment of Internal Medicine, Gachon University Gil Medical Center, Incheon, Republic of Korea.
Jae Ho JeongDepartment of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Min Hwan KimDepartment of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul.
Dae Hyung LeeInha University Hospital, Incheon, Republic of Korea.
Siheon KimDepartment of Biostatistics, College of Medicine, Korea University, Seoul, Republic of Korea.
Hyemi MoonDepartment of Biostatistics, College of Medicine, Korea University, Seoul, Republic of Korea.
Serim SonDepartment of Biostatistics, College of Medicine, Korea University, Seoul, Republic of Korea.
Ji-Hye ByunInnovation Research Department, Health Insurance Review and Assessment Service, Wonju, Republic of Korea.
Dong Sook KimReview & Assessment Research Department, Health Insurance Review and Assessment Service, Wonju, Republic of Korea.
Hyonggin AnDepartment of Biostatistics, College of Medicine, Korea University, Anam-dong 5-ga, Seongbuk-gu, Seoul, 02841, Republic of Korea.
Yeon Hee ParkDepartment of Medicine, Division of Hematology-Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul 06351, Republic of Korea.
Dae Young ZangDepartment of Internal Medicine, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, 22 Gwanpyeong-ro 170 beon-gil Dongan-gu, Anyang-si, Gyeonggi-do 14068, Republic of Korea.ORCID https://orcid.org/0000-0002-2602-7848
Korea University · KRUlsan College · KREwha Womans University · KRHallym University · KRSamsung Medical Center · KRYonsei University · KRChungbuk National University Hospital · KRGachon University Gil Medical Center · KRHallym University Kangnam Sacred Heart Hospital · KRInha University · KRSeoul National University Bundang Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Electronic medical records (EMRs) have the highest value among real-world data (RWD). The aim of the present study was to propose a data collection framework of EMR-based RWD to evaluate the effectiveness and safety of cancer drugs by conducting a nationwide real-world study based on the Korean Cancer Study Group. Methods: We considered all patients who received ramucirumab plus paclitaxel (RAM/PTX) for gastric cancer and trastuzumab emtansine (T-DM1) for breast cancer at relevant institutions in South Korea. Standard operating procedures for systematic data collection were prospectively developed. Investigator reliability was evaluated using the concordance rate between the recommended input value for representative fictional cases and the input value of each investigator. Reliability of collected data was evaluated twice during the study period at three institutions randomly selected using the concordance rate between the previously collected data and data collected by an independent investigator. The reliability results of the investigators and collected data were used for revision of the electronic data capture system and site training. Results: Between the starting date of medical insurance coverage and December 2018, a total of 1063 patients at 56 institutions in the RAM/PTX cohort and 824 patients at 60 institutions in the T-DM1 cohort were included. Mean investigator reliability in the RAM/PTX and T-DM1 cohorts was 73.5% and 71.9%, respectively. Mean reliability of collected data in the RAM/PTX and T-DM1 cohort was 90.0% for both cohorts in the first analysis and 89.0% and 84.0% in the second analysis, respectively. Mean missing values of the RAM/PTX and T-DM1 cohorts at the time of simulation of fictional cases and final data analysis decreased from 20.7% to 0.46% and from 18.5% to 0.76%, respectively. Conclusion: This real-world study provides a framework that ensures relevance and reliability of EMR-based RWD for evaluating the effectiveness and safety of cancer drugs.

Indexed as

cancer drugdata collectionmedical recordreal-world datarelevancereliability

Identifiers

PMID36339930
PMCPMC9634188
OpenAlexW4308548595

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.