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Record W4395079817 · doi:10.1097/cm9.0000000000003146

Shanghai Gynecologic Oncology Group’s consensus on the academic and industry’s clinical trial types

2024· article· en· W4395079817 on OpenAlexaboutno aff
Tingyan Shi, Jihong Liu, Jianqing Zhu, Xipeng Wang, Wei Jiang, Xin Lu, Weiwei Feng, Shengtao Zhou, Yang Shen, Gang Chen, Zhenyu Wu, Dongling Zou, Peng Wu, Huijuan Yang, Sufang Wu, Tao Zhu, Huaying Wang, Yingli Zhang, Lihua Qiu, Xiaoqing Guo, Libing Xiang, Wei Zhang, Yu Ren, Yanling Feng, Yanfei Liu, Xiaojun Chen, Rongyu Zang

Bibliographic record

VenueChinese Medical Journal · 2024
Typearticle
Languageen
FieldMedicine
TopicHealth and Medical Research Impacts
Canadian institutionsnot available
FundersFudan University
KeywordsGynecologic oncologyMedicineClinical OncologyClinical trialInternal medicineOncologyFamily medicineGynecologyCancer

Abstract

fetched live from OpenAlex

Shanghai Gynecologic Oncology Group (SGOG, www.ShanghaiGOG.org),[1] established in 2009, is a non-profit organization of clinical research and the full member of Gynecology Cancer Intergroup (GCIG) since 2012. It was guided by Drs. Jinghe Lang (China), Gavin Stuart (Canada) (2009-2020); Drs. Jinghe Lang (China), Ding Ma (China) (2021-) and was supported by Dr. Zeyi Cao (2009-2012). The mission of SGOG is to actively promote the investigator-initiated trial (IIT) in gynecologic cancers, particularly the innovative phase II clinical trials. Followed by the high quality of management in investigators’ training, trial development, human resources, and research funding, SGOG has initiated phase III clinical trials to improve the future clinical practice. SGOG aims to obtain reliable data by conducting systematic, standardized, and high-quality clinical trials, to guide the clinical practice of ovarian cancer, endometrial cancer, and cervical cancer in China. SGOG holds group meetings twice a year, and actively participates in GCIG international communication and cooperation that expands its international and national influence in the field of clinical research in gynecologic cancers. This coordination is not only particularly relevant between academic groups but also with national and/or international industry partners. The current statement is a result of consensus among SGOG committees on the definition of different trial types, which are a little different from those of the European Network of Gynaecological Oncological Trial Groups (ENGOT) consensus.[2] Three types of trials have been classified as Type A, B, and C [Table 1]. As a cooperative organization among academic centers, SGOG makes efforts on Types A and B trials to identify important, clinically meaningful questions. This trial classification is primarily applicable to randomized phase III trials. The consensus text was discussed and approved by one of the SGOG committees (ovarian, endometrial, cervix, and translational). Table 1 - The three types of clinical trials agreed by SGOG. Items Type A Type B Type C Initiated party The academic center The academic center The industry Research purpose Hypothesis-driven investigation. To confirm or compare a novel or unconfirmed traditional treatments with or without updated standard treatment approaches, irrelevant to new drugs/devices, apart from the academic center/person owning an intellectual property right To confirm or compare approved new drugs/devices with or without standard treatment approaches To compare unapproved drugs/devices with standard treatment approaches Protocol Designed and developed by the leading study group, then reviewed and approved by the trial steering committee Designed and developed by the leading study group and the industry partner, then reviewed and approved by the trial steering committee Designed and developed by the industry for the approval of new drugs/devices Independent DMC Organized by the academic center Organized by the academic center Organized by the industry Founding Government /The academic center Government /The academic center and industry co-funding The industry Patients’ benefit Compared to Type C, benefit greatly or comparably Compared to Type C, benefit greatly or comparably, but still face the risk of drug/device failure and potential adverse events Benefit greatly or failure, and potential adverse events Database property The academic center CRO contracted by the academic center CRO contracted by the industry Intellectual property The academic center Partially belong to the academic investigators The industry CRO: Contract research organization; DMC: Data monitoring committee; SGOG: Shanghai Gynecologic Oncology Group. Type A trials are initiated by academic center with clinically hypothesis-driven investigations. Entirely different from the Type C, Type A trials aim to solve a clinical question to confirm or compare a novel or unconfirmed traditional treatment with or without updated standard treatment approaches, usually irrelevant to new drugs/devices apart from those from the physicians. In the field of gynecologic oncology, surgery is one of the most important treatments. Surgeons are uniquely poised to be effective principal investigators due to the ability to identify key issues in clinics and their experience as leaders of multidisciplinary teams. The surgery related trials initiated by surgeons will answer the basic questions in clinical practice and are critically important in gynecologic oncology. The trial design, protocol, standard operating procedure (SOP), and statistical analysis plan (SAP) are developed by the leading group, then reviewed and approved by the trial steering committee. Although led by principal investigators, Type A trials are monitored by a central committee of clinical experts in a particular field.[3,4] Monitoring process is organized by the academic group. Each serious adverse event and patients’ rights should be regularly reviewed by an independent data monitoring committee (iDMC). Thus, patients would receive more or comparable benefit compared to the standard of care, without any risk of new drug/device failure. More importantly, academic center has overall responsibility for the whole process of Type A trials, such as data management, quality control, and publishing. Intellectual property including database, publication, and patents, belongs to the academic center in full. So, Type A trials are characterized by academic investigator’s independent innovation. Unlike those in ENGOT types, to date, SGOG did not include any drug trials in the Type A. Type C trials are completely sponsored and initiated by industry partners with the purpose of new drug/device application. With sufficient funding support, Type C trials tend to recruit more study groups and even international multicenter participation for the high-level evidence of new drugs or devices. The study design, protocol, SOP, SAP, and even manuscript drafting are coordinated by the industry company. Considering the purpose of drug/device approval, governments such as US Food & Drug Administration and Chinese National Medical Products Administration, have regulatory requirements for the new drug use depending on the rigor of prior research and intended use.[5] During the management of Type C trial, the sponsor company must receive all the information needed for pharmacovigilance and maintain the global safety reporting for the database at the contract research organization (CRO). Serious adverse events should be regularly reviewed by the steering committee and the iDMC. As a result, patients may benefit greatly from novel drugs/devices, but sometimes must take the risk of drug failure and potential adverse events. The industry occupies intellectual property entirely. To improve the cooperation of the academic center and industry partners, number of Type B trials has been increased during the recent years. SGOG believes Type B model might be important for the future clinical and translational research on newly approved drugs/devices in gynecologic cancers and, probably, also for the high-level evidence of drug efficacy and safety. Requirements for Type B trials: i. Trials initiated by a leading academic center. ii. Study protocol, SOP, and SAP are designed and developed by both the academic center and industry partners. iii. Monitoring is preferably organized by the academic group. Both the academic center and industry companies must receive all the information needed for pharmacovigilance. Serious adverse events should be regularly reviewed by steering committee and an iDMC. iv. The database is independently generated and managed at CRO, which is preferably contracted by the leading group. Neither the study group nor the industry has access to the database regarding primary and key secondary endpoints before the time of pre-planned analysis. The study group is responsible for the use of database for educational and scientific purposes, irrespective of who is the sponsor. v. Funding could be derived from both government/the academic center and the industry company. vi. Patients may benefit greatly or comparably from new approved drugs/devices, but still face the risk of drug/device failure and potential adverse events. vii. The leading study group is responsible for the independent analysis for primary and secondary endpoints. The official study report, publication, or patents must be agreed by the leading study group. viii. A contract needs to be agreed upon between the industry partner and the leading study group, as well as between the industry partner and cooperating groups. ix. Intellectual property partially belongs to the academic center. This consensus did not discuss the questions of the database and relationship with the contract research organizations. Acknowledgements We would like to appreciate Drs. Rong Jiang and Yulian Chen from Zhongshan Hospital Fudan University for their contributions in this manuscript. We also thank Dr. Huixun Jia from Shanghai General Hospital for her statistical supports.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.014
metaresearch head score (Gemma)0.298
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.688
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.298
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.014
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.300
GPT teacher head0.556
Teacher spread0.256 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2024
Admission routes1
Has abstractyes

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