Evidence map›Paper›PMID 30985703›Full record

ArticleMedicine2019

Effectiveness, safety, and economic evaluation of topical application of a herbal ointment, Jaungo, for radiation dermatitis after breast conserving surgery in patients with breast cancer (GREEN study): Study protocol for a randomized controlled trial.

Seungwon Shin, Bo-Hyoung Jang, Hae Sun Suh, Seung-Hyeok Park, Jin-Wook Lee, Seong Woo Yoon, Moonkyoo Kong, Yu Jin Lim, Deok-Sang Hwang

Open access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 29% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Cost-effectiveness of photobiomodulation therapy for the prevention and management of cancer treatment toxicities: a systematic review.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2021
    Pooled it
  2. Trial
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

9 authors at 4 institutions in 1 country.

Seungwon ShinSenior Researcher, Clinical Trial Center, Korean Medicine Hospital, Kyung Hee University, Seoul.
Bo-Hyoung JangAssistant Professor, Department of Preventive Medicine, College of Korean Medicine, Kyung Hee University, Seoul.
Hae Sun SuhAssociate Professor, Pharmaceutical Economics, Outcomes Research and Policy, College of Pharmacy, Pusan National University, Busan.
Seung-Hyeok ParkDepartment of Clinical Korean Medicine, Graduate School, Kyung Hee University, Seoul.
Jin-Wook LeeDepartment of Clinical Korean Medicine, Graduate School, Kyung Hee University, Seoul.
Seong Woo YoonProfessor, Department of Korean Internal Medicine, Korean Medicine Cancer Center, Kyung Hee University Hospital at Gangdong, College of Korean Medicine, Kyung Hee University, Seoul.
Moonkyoo KongAssistant Professor, Department of Radiation Oncology, Kyung Hee University Medical Center, Kyung Hee University School of Medicine, Seoul.
Yu Jin LimClinical Assistant Professor, Department of Radiation Oncology, Kyung Hee University Medical Center, Kyung Hee University, 23 Kyungheedae-ro, Dongdaemun-gu, Seoul.
Deok-Sang HwangAssociate Professor, Department of Korean Obstetrics and Gynecology, College of Korean Medicine, Kyung Hee University, 26 Kyungheedae-ro, Dongdaemun-gu, Seoul, Republic of Korea.
Kyung Hee University · KRKyung Hee University Medical Center · KRKyung Hee University Hospital at Gangdong · KRPusan National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThis is a prospective, open-label, parallel-group, randomized controlled trial that evaluates the effectiveness and safety of adjuvant application of Jaungo (JUG) for radiation-induced dermatitis (RD) in breast cancer patients undergoing radiation therapy, in comparison with general supportive care (GSC). METHODS/

designEighty female patients, who have been diagnosed with unilateral breast cancer, will be allocated to either the JUG or GSC group with an allocation ratio of 1:1 after breast conservation surgery, in the Kyung Hee University Korean Medicine Hospital, Seoul, Republic of Korea. Both the groups will be subjected to GSC, but only the JUG group participants will apply adjuvant JUG ointment on the irradiated skin for 6 weeks, twice a day. The primary outcome of this study is the assessment of incidence rate of RD using the Radiation Therapy Oncology Group (RTOG) for toxicity gradation of 2 or more. Maximum pain level, quality of life, adverse reactions, and pharmacoeconomic evaluations will also be included. DISCUSSION: The primary outcome will be statistically compared using the logrank test after estimating the survival curve using the Kaplan-Meier method. Continuous variables will be tested using independent t test or Mann-Whitney U test. The adverse events will be evaluated with Chi-square or Fisher exact test. All the data will be analyzed at a significance level of 0.05 (two-sided) with R software (The R Foundation).

trial registrationCRIS (Clinical Research Information Service), KCT0003506, 14 February 2019.

Indexed as

Dermatologic AgentsDrugs, Chinese HerbalRadiation-Protective AgentsRadiodermatitisAbdominal PainAdultAgedAged, 80 and overBreast NeoplasmsFemaleHumansMiddle AgedOintmentsPatient SelectionPhytotherapyRadiotherapyDermatologic AgentsDrugs, Chinese HerbaljaungoOintmentsRadiation-Protective Agents

Identifiers

PMID30985703
PMCPMC6485874
OpenAlexW2936265248

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.