Evidence map›Paper›PMID 33843794›Full record

ArticleAnnals of surgery2023

Surgical Decision-Making in Pancreatic Ductal Adenocarcinoma: Modeling Prognosis Following Pancreatectomy in the Era of Induction and Neoadjuvant Chemotherapy.

Joseph R Habib, Benedict Kinny-Köster, Patrick Bou-Samra, Ranim Alsaad, Elisabetta Sereni, Ammar A Javed, Ding Ding, John L Cameron, Kelly J Lafaro, William R Burns and 4 more

Abstract read
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Article in Annals of surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.2field-weighted citation impact, top 9% 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

22 citing papers in PubMed, 38 citations in OpenAlex.

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  11. The impact of metastatic sites on survival Rates and predictors of extended survival in patients with metastatic pancreatic cancer.Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.] · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 3 institutions in 1 country.

Joseph R HabibDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD.
Benedict Kinny-KösterDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD.
Patrick Bou-SamraDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD.
Ranim AlsaadDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD.
Elisabetta SereniDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD.
Ammar A JavedDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD.
Ding DingDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD.
John L CameronDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD.
Kelly J LafaroDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD.
William R BurnsDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD.
Jin HeDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD.
Jun YuDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD.
Christopher L WolfgangDepartment of Surgery, New York University School of Medicine and NYU-Langone Medical Center, New York, NY.
Richard A BurkhartDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD.
Johns Hopkins University · USJohns Hopkins Medicine · USNYU Langone Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo develop a predictive model of oncologic outcomes for patients with pancreatic ductal adenocarcinoma (PDAC) undergoing resection after neoadjuvant or induction chemotherapy use.

backgroundEarly recurrence following surgical resection for PDAC is common. The use of neoadjuvant chemotherapy prior to resection may increase the likelihood of long-term systemic disease control. Accurately characterizing an individual's likely oncologic outcome in the perioperative setting remains challenging.

methodsData from patients with PDAC who received chemotherapy prior to pancreatectomy at a single high-volume institution between 2007 and 2018 were captured in a prospectively collected database. Core clinicopathologic data were reviewed for accuracy and survival data were abstracted from the electronic medical record and national databases. Cox-proportional regressions were used to model outcomes and develop an interactive prognostic tool for clinical decision-making.

resultsA total of 581 patients were included with a median overall survival (OS) and recurrence-free survival (RFS) of 29.5 (26.5-32.5) and 16.6 (15.8-17.5) months, respectively. Multivariable analysis demonstrates OS and RFS were associated with type of chemotherapeutic used andthe number of chemotherapy cycles received preoperatively. Additional factors contributing to survival models included: tumor grade, histopathologic response to therapy, nodal status, and administration of adjuvant chemotherapy. The models were validated using an iterative bootstrap method and with randomized cohort splitting. The models were well calibrated with concordance indices of 0.68 and 0.65 for the final OS and RFS models, respectively.

conclusionWe developed an intuitive and dynamic decision-making tool that can be useful in estimating OS, RFS, and location-specific disease recurrence rates. This prognostic tool may add value to patient care in discussing the benefits associated with surgical resection for PDAC.

Indexed as

Carcinoma, Pancreatic DuctalPancreatic NeoplasmsChemotherapy, AdjuvantHumansNeoadjuvant TherapyPancreatectomyPrognosisRetrospective StudiesSurvival Rate

Identifiers

PMID33843794
OpenAlexW3154457839

What OpenQuestion holds

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Registered trials

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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.