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Record W4200514494 · doi:10.1097/jp9.0000000000000079

Survey on the current status of the diagnosis and treatment of pancreatic cancer in public tertiary hospitals in China: a cross-sectional questionnaire-based, observational study

2021· article· en· W4200514494 on OpenAlexaff
Wenming Wu, Qiaofei Liu, Jingcheng Zhang, Yupei Zhao

Bibliographic record

VenueJournal of Pancreatology · 2021
Typearticle
Languageen
FieldMedicine
TopicPancreatic and Hepatic Oncology Research
Canadian institutionsPancreas Centre (Canada)
Fundersnot available
KeywordsMedicinePancreatic cancerGemcitabineObservational studyCross-sectional studyInternal medicineCancerFamily medicineGeneral surgeryPathology

Abstract

fetched live from OpenAlex

Abstract Objective: Pancreatic cancer is one of the most aggressive digestive system malignant tumors, and its clinical diagnosis and treatment are still challenging. To further understand the current status and improve the multidisciplinary collaboration for diagnosis and treatment of pancreatic cancer in China, we conducted an online questionnaire survey on the diagnosis and treatment status of pancreatic cancer in public tertiary hospitals of China in 2021. Methods: In this cross-sectional questionnaire-based, observational study, online questionnaires with real-name authentication were used to gather data from 500 clinicians, 50 pharmacists, and 1000 pancreatic cancer patients in tertiary general hospitals or cancer hospitals nationwide. Results: A total of 485 valid questionnaires were obtained from the clinicians, majority of whom were from economically better developed regions or cities of China. There were multi-disciplinary team treatment (MDT) clinics for pancreatic cancer patients in 60% of the hospitals. Minimally invasive surgeries could be performed in all the surveyed hospitals. However, open surgery was still the mainstream choice in most cases. Gemcitabine-based chemotherapy was the most popular first-line adjuvant regimen for pancreatic cancer. A total of 50 valid questionnaires were collected from pharmacists, 48% of them are not satisfactory with the efficacy of the chemotherapeutic drugs, and myelosuppression, liver, and renal damage were the most concerning side effects. In total, 1011 valid questionnaires were collected from the patients. Approximately, 48.4% of the patients did not know about pancreatic cancer before becoming ill. Over 80% of pancreatic cancer patients reported poor to very poor health-related quality of life, and the estimated overall medical expenses were within ¥400,000 ($58823.53) in 80% of the patients. Clinicians, pharmacists, and patients believe that popularizing scientific knowledge of pancreatic cancer, constructing MDT clinics and fast-lane system, and conducting clinical research will help further improve the diagnosis and treatment of pancreatic cancer. Conclusions: The MDT clinics for pancreatic cancer have been well developed in most of the public tertiary hospitals. Minimally invasive pancreatic surgery has developed rapidly in China; however, open surgery is still the mainstream choice for pancreatic cancer. The proportion of adjuvant treatment has been significantly improved, and the gemcitabine-based regimen is the most commonly used first-line regimen. Most of the public still lacks the general knowledge of pancreatic cancer, needing further popularization. The construction of a fast-lane treatment system and conducting of high-level clinical studies are the warm expectations of the clinicians and patients. The real-world situation of the diagnosis and treatment of pancreatic cancer in the other types of hospitals of China needs further exploration.

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.392

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.130
GPT teacher head0.422
Teacher spread0.292 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations7
Published2021
Admission routes1
Has abstractyes

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