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Record W4296523223 · doi:10.21037/atm-22-4268

Evaluation of the safety and effectiveness of neoadjuvant combined chemoimmunotherapy in the treatment of locally advanced esophageal squamous cell carcinoma: a retrospective single-arm cohort study

2022· article· en· W4296523223 on OpenAlexaff
Pinghui Xia, Pan Li, Simeng Wu, Yiqing Wang, Peng Ye, Chong Zhang, Jian Hu, Biniam Kidane, Savvas Lampridis, Jeffrey B. Velotta, Linhai Zhu, Luming Wang

Bibliographic record

VenueAnnals of Translational Medicine · 2022
Typearticle
Languageen
FieldMedicine
TopicEsophageal Cancer Research and Treatment
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsChemoimmunotherapyMedicineEsophageal squamous cell carcinomaRetrospective cohort studyNeoadjuvant therapyOncologyCohortCarcinomaBasal cellInternal medicineSurgeryChemotherapyCancerCyclophosphamide

Abstract

fetched live from OpenAlex

Background: Transforming potentially resectable advanced esophageal squamous cell carcinoma (ESCC) into resectable ESCC through preoperative induction therapy is an important component of ESCC comprehensive treatment. Immune checkpoint inhibitor (ICI) therapy has been shown to have significant effects in the treatment of advanced ESCC, but its role in the neoadjuvant treatment of potentially resectable ESCC is unclear. This study aims to investigate the safety and effectiveness of camrelizumab combined with chemotherapy in the neoadjuvant treatment of ESCC. Methods: We recruited consecutive patients with potentially resectable ESCC who received preoperative camrelizumab in combination with chemotherapy. Data including demographic data, clinicopathological characteristics, neoadjuvant treatment regimens, lesion changes observed by imaging, and surgical details were retrospectively collected through specially designed forms. Toxic effects of neoadjuvant therapy on hematology, gastrointestinal tract, liver, kidney, skin, and thyroid were also collected. Imaging assessments were performed every 1-2 treatment cycles. Follow-up is based on the patient's regular admission to the hospital for examination and treatment, at least 3 months after surgery. Results: A total of 66 patients with locally advanced ESCC were included in this study, including 8 patients with stage II, 29 patients with stage III, and 29 patients with stage IVA. The objective response rate (ORR) of the neoadjuvant immunotherapy combined with chemotherapy was 75.76% (50/66), and no one developed disease progression. A total of 60 patients underwent surgery, and the R0 resection rate was 98.3% (59/60). The pathological complete remission (pCR) rate and the major pathological response (MPR) rate was 6.7% (4/60) and 20% (12/60), respectively. There were 14 cases of treatment-related adverse reactions >3, but no perioperative deaths occurred. Conclusions: Neoadjuvant immunotherapy combined with chemotherapy followed by surgical resection may be an available treatment for patients with locally advanced ESCC.

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)0.003
metaresearch head score (Gemma)0.000
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 score0.028
Threshold uncertainty score0.350

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
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 head0.045
GPT teacher head0.349
Teacher spread0.304 · 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
Published2022
Admission routes1
Has abstractyes

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