ArticleAnnals of surgical oncology2023
Induction Chemotherapy with FOLFIRINOX for Locally Advanced Pancreatic Cancer: A Simple Scoring System to Predict Effect and Prognosis.
Article in Annals of surgical oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed, 8 citations in OpenAlex.
- Article
- Impact of Sarcopenia During Induction Treatment in Patients With Unresectable Locally Advanced Pancreatic Cancer.Annals of gastroenterological surgery · 2026Article
- Extracellular volume-based scoring system for tracking tumor progression in pancreatic cancer patients receiving intraoperative radiotherapy.Insights into imaging · 2024Article
- Preoperative chemotherapy, radiotherapy and surgical decision-making in patients with borderline resectable and locally advanced pancreatic cancer.Nature reviews. Gastroenterology & hepatology · 2024Review
- ASO Author Reflections: Prediction of the Chemotherapy Effect on the Prognosis of Locally Advanced Pancreatic Cancer.Annals of surgical oncology · 2023Article
- Review
Corrections and comments
- Commented on by
Authors and funding
8 authors at 2 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEffective chemotherapy (CTx) protocols as induction treatment provide increasing opportunities for surgical resection of locally advanced pancreatic cancer (LAPC). Although improved survival after resection of LAPC with CTx has been reported for selected patients, reliable recommendations on the indication for conversion surgery after induction treatment are currently lacking. We investigated the factors predictive of prognosis in resected LAPC after FOLFIRINOX.
methodsConsecutive patients with LAPC undergoing curative resection after FOLFIRINOX between 2011 and 2018 were identified from a prospectively maintained database. Relevant clinical parameters and CT findings were examined. A scoring system was developed based on the ratio of hazard ratios for overall survival of all significant predictors.
resultsA total of 62 patients with LAPC who underwent oncologic resection after FOLFIRINOX were analyzed. Tumor shrinkage, tumor density, and postchemotherapy CA19-9 serum levels were independently associated with overall survival (multivariate analysis: HR = 0.31, 0.17, and 0.18, respectively). One, two, and two points were allocated to these three factors in the proposed scoring system, respectively. The median overall survival of patients with a score from 0 to 2 was significantly shorter than that of patients with a score from 3 to 5 (22.1 months vs. 53.2 months, P < 0.001).
conclusionsTumor density is a novel predictive marker for the prognosis of patients with resected LAPC after FOLFIRINOX. A simple scoring model incorporating tumor density, the tumor shrinkage rate, and CA 19-9 levels identifies patients with a low score, who may be candidates for additional treatment.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.