Evidence map›Paper›PMID 32541630›Full record

ArticlePancreas2020

Nomogram for Estimating Overall Survival in Patients With Metastatic Pancreatic Cancer.

David Goldstein, Daniel D Von Hoff, E Gabriela Chiorean, Michele Reni, Josep Tabernero, Ramesh K Ramanathan, Marc Botteman, Abdalla Aly, Sandra Margunato-Debay, Brian Lu and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Pancreas, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Prognostic modeling of overall survival in metastatic pancreatic cancer: an inflammation-based tool validated in PANTHEIA-SEOM cohort.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 10 institutions in 4 countries.

David Goldstein
Daniel D Von Hoff
E Gabriela ChioreanDepartment of Medicine and Oncology, University of Washington, Fred Hutchinson Cancer Research Center, Seattle, WA.
Michele ReniDepartment of Oncology, San Raffaele Scientific Institute, Milan, Italy.
Josep Tabernero
Ramesh K RamanathanDepartment of Hematology and Oncology, Mayo Clinic, Scottsdale, AZ.
Marc BottemanDepartment of Real-World Evidence and Data Analysis, Pharmerit International, Bethesda, MD.
Abdalla AlyDepartment of Real-World Evidence and Data Analysis, Pharmerit International, Bethesda, MD.
Sandra Margunato-DebayDepartments of Market Access.
Brian LuClinical R&D Management.
Chrystal U LouisMedical Affairs, Bristol-Myers Squibb Company, Princeton, NJ.
Desmond McGovernClinical R&D Management.
Chee Khoon LeeNHMRC Clinical Trials Centre, The University of Sydney, Camperdown, Australia.
Fred Hutch Cancer Center · USPharmerit (United States) · USSan Raffaele University of Rome · ITHebron University · PSHonorHealth · USMayo Clinic in Arizona · USNational Health and Medical Research Council · AUTranslational Genomics Research Institute · USUniversity of Washington · USUNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis analysis investigated nomogram use to evaluate metastatic pancreatic cancer prognosis.

methodsThirty-four baseline factors were examined in the Metastatic Pancreatic Adenocarcinoma Clinical Trial (MPACT) (nab-paclitaxel plus gemcitabine vs gemcitabine) data set. Factors significantly (P < 0.1) associated with overall survival (OS) in a univariable model or with known clinical relevance were tested further. In a multivariable model, factors associated with OS (P < 0.1) were selected to generate the primary nomogram, which was internally validated using bootstrapping, a concordance index, and calibration plots.

resultsUsing data from 861 patients, 6 factors were retained (multivariable analysis): neutrophil-lymphocyte ratio, albumin level, Karnofsky performance status, sum of longest diameter of target lesions, presence of liver metastases, and previous Whipple procedure. The nomogram distinguished low-, medium-, and high-risk groups (concordance index, 0.67; 95% confidence interval, 0.65-0.69; median OS, 11.7, 8.0, and 3.3 months, respectively).

conclusionsThis nomogram may guide estimates of the range of OS outcomes and contribute to patient stratification in future prospective metastatic pancreatic cancer trials; however, external validation is required to improve estimate reliability and applicability to a general patient population. Caution should be exercised in interpreting these results for treatment decisions: patient characteristics could differ from those included in the nomogram development.

Indexed as

AdenocarcinomaAntineoplastic Combined Chemotherapy ProtocolsDeoxycytidineFemaleGemcitabineHumansKaplan-Meier EstimateLiver NeoplasmsMaleMultivariate AnalysisNomogramsOutcome Assessment, Health CarePaclitaxelPancreatic NeoplasmsPrognosisProportional Hazards ModelsDeoxycytidineGemcitabinePaclitaxel

Identifiers

PMID32541630
PMCPMC7314499
OpenAlexW3034561225

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.