Evidence map›Paper›PMID 29576622›Full record

Trial reportBritish journal of cancer2018

Predicting cumulative incidence of adverse events in older patients with cancer undergoing first-line palliative chemotherapy: Korean Cancer Study Group (KCSG) multicentre prospective study.

Jin Won Kim, Yun-Gyoo Lee, In Gyu Hwang, Hong Suk Song, Su Jin Koh, Yoon Ho Ko, Seong Hoon Shin, In Sook Woo, Soojung Hong, Tae-Yong Kim and 11 more

Open access · hybridAbstract readClinical TrialMulticenter Study
In one paragraph

Trial report in British journal of cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
1.8field-weighted citation impact, top 17% 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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it, 33 citations in OpenAlex.

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  20. Management of the toxicity of chemotherapy and targeted therapies in elderly cancer patients.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2020
    Review
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

21 authors at 18 institutions in 1 country.

Jin Won KimDepartment of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, South Korea.
Yun-Gyoo LeeDepartment of Internal Medicine, Kangbuk Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
In Gyu HwangDepartment of Internal Medicine, Chung-Ang University Hospital, Chung-Ang University College of Medicine, Seoul, South Korea.
Hong Suk SongDepartment of Internal Medicine, Dongsan Medical Center, Keimyung University, Daegu, South Korea.
Su Jin KohDepartment of Hematology and Oncology, Ulsan University Hospital, Ulsan University College of Medicine, Ulsan, South Korea.
Yoon Ho KoDepartment of Internal Medicine, Uijeongbu St. Mary's Hospital, Uijeongbu, South Korea.
Seong Hoon ShinDepartment of Internal Medicine, Kosin University Gospel Hospital, Busan, South Korea.
In Sook WooDepartment of Internal Medicine, Yeouido St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea.
Soojung HongDepartment of Internal Medicine, National Health Insurance Service Ilsan Hospital, Goyang, South Korea.
Tae-Yong KimDepartment of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea.
Sun Young KimResearch Institute and Hospital, National Cancer Center, Goyang, South Korea.
Byung-Ho NamResearch Institute and Hospital, National Cancer Center, Goyang, South Korea.
Hyun Jung KimDepartment of Internal Medicine, Soonchunhyang University Bucheon Hospital, Soonchunhyang University College of Medicine, Bucheon, South Korea.
Hyo Jung KimDepartment of Internal Medicine, Hallym University Sacred Heart Hospital, Anyang, South Korea.
Myung Ah LeeDepartment of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea.
Jung Hye KwonKangdong Sacred Heart Hospital, Hallym University College of Medicine, Seoul, South Korea.
Yong Sang HongDepartment of Oncology, Asan Medical Center, Ulsan University College of Medicine, Seoul, South Korea.
Sung Hwa BaeDepartment of Internal Medicine, Daegu Catholic University Hospital, Daegu, South Korea.
Dong-Hoe KooDepartment of Internal Medicine, Kangbuk Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Kwang-Il KimDepartment of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, South Korea.
Jee Hyun KimDepartment of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, South Korea. jhkimmd@snu.ac.kr.
Seoul National University Bundang Hospital · KRNational Cancer Center · KRAsan Medical Center · KRCatholic University of Korea · KRChung-Ang University Hospital · KRDaegu Catholic University Medical Center · KRHallym University Sacred Heart Hospital · KRKangdong Sacred Heart Hospital · KRKeimyung University · KRKosin University Gospel Hospital · KRNational Health Insurance Service · KRSamsung Medical Center · KRSeoul National University Hospital · KRSoonchunhyang University · KRSungkyunkwan University · KRThe Catholic University of Korea Seoul St. Mary's Hospital · KRThe Catholic University of Korea Uijeongbu St. Mary's Hospital · KRUlsan University Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOlder patients have increased risk of toxicity from chemotherapy. Current prediction tools do not provide information on cumulative risk.

methodsPatients aged ≥ 70 years with solid cancer were prospectively enrolled. A prediction model was developed for adverse events (AEs) ≥ Grade 3 (G3), based on geriatric assessment (GA), laboratory, and clinical variables.

results301 patients were enrolled (median age, 75 years). Median number of chemotherapy cycles was 4. During first-line chemotherapy, 53.8% of patients experienced AEs ≥ G3. Serum protein < 6.7 g/dL, initial full-dose chemotherapy, psychological stress or acute disease in the past 3 months, water consumption < 3 cups/day, unable to obey a simple command, and self-perception of poor health were significantly related with AEs ≥ G3. A predicting model with these six variables ranging 0-8 points was selected with the highest discriminatory ability (c-statistic= 0.646), which could classify patients into four risk groups. Predicted cumulative incidence of AEs ≥ G3 was discriminated according to risk groups.

conclusionsThis prediction tool could identify the risk of AEs ≥ G3 after chemotherapy and provide information on the cumulative incidence of AEs in each cycle. CLINICAL TRIAL ID: WHO ICTRP number, KCT0001071.

Indexed as

Palliative CareAgedAged, 80 and overAntineoplastic AgentsDrug-Related Side Effects and Adverse ReactionsFemaleGeriatric AssessmentHumansIncidenceLongitudinal StudiesMaleNeoadjuvant TherapyNeoplasmsPrognosisRepublic of KoreaRisk FactorsAntineoplastic Agents

Identifiers

PMID29576622
PMCPMC5943243
OpenAlexW2792533818

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.