Evidence map›Paper›PMID 37723453›Full record

Observational studyBMC cancer2023

Treatment sequences and prognostic/predictive factors in metastatic pancreatic ductal adenocarcinoma: univariate and multivariate analyses of a real-world study in Europe.

Julien Taieb, Thomas Seufferlein, Michele Reni, Daniel H Palmer, John A Bridgewater, Antonio Cubillo, Gerald W Prager, Alice Vermeire, Fabienne Hédouin-Biville, Zhaoyang Teng and 1 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
2.5field-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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
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  5. Observational
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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

11 authors at 9 institutions in 6 countries.

Julien TaiebDepartment of Gastroenterology and Digestive Oncology, Université de Paris, Georges Pompidou European Hospital, SIRIC CARPEM, Paris, France. jtaieb75@gmail.com.ORCID http://orcid.org/0000-0002-9955-4753
Thomas SeufferleinDepartment of Internal Medicine I, University Hospital Ulm, Ulm, Germany.ORCID http://orcid.org/0000-0003-3259-0810
Michele ReniUniversity Vita E Salute, IRCCS, San Raffaele Scientific Institute, Milan, Italy.ORCID http://orcid.org/0000-0002-6463-0293
Daniel H PalmerUniversity of Liverpool, Liverpool, UK.
John A BridgewaterUCL Cancer Institute, London, UK.ORCID http://orcid.org/0000-0001-9186-1604
Antonio CubilloHM CIOCC University Hospital, Madrid, Spain.ORCID http://orcid.org/0000-0001-7511-7121
Gerald W PragerDepartment of Medicine I, Medical University of Vienna, Vienna, Austria.ORCID http://orcid.org/0000-0002-7854-7781
Alice VermeireServier, Suresnes Cedex, France.
Fabienne Hédouin-BivilleServier, Suresnes Cedex, France.
Zhaoyang TengServier Pharmaceuticals, Boston, USA.ORCID http://orcid.org/0000-0001-9814-8713
Teresa MacarullaVall d´Hebron University Hospital, Vall d´Hebron Institute of Oncology (VHIO), IOB Quiron, Barcelona, Spain.ORCID http://orcid.org/0000-0002-5856-4082
Servier (France) · FRCRUK Lung Cancer Centre of Excellence · GBHM Hospitales · ESMedical University of Vienna · ATUniversité Paris Cité · FRUniversity Hospital Ulm · DEUniversity of Liverpool · GBVall d'Hebron Institute of Oncology · ESVita-Salute San Raffaele University · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundReal-world data on treatment patterns/outcomes for metastatic pancreatic cancer (mPAC) are limited. This study aims to assess real-world treatment patterns, survival outcomes, and prognostic/predictive factors in patients with mPAC.

methodsRetrospective, observational, chart-review involving medical oncologists and gastroenterologists from five European countries. Physicians reported information on disease and patient characteristics, diagnosis, and treatment for patients diagnosed with mPAC from January-October 2016. Outcomes included median progression-free survival (mPFS), median overall survival (mOS), and the impact of baseline performance status on survival. Univariate/multivariate regression analyses were undertaken to identify prognostic/predictive factors.

resultsThree hundred four physicians and 3432 patients were included. First-line therapies included modified (m)FOLFIRINOX (28.4%), gemcitabine + nab-paclitaxel (28.0%), and gemcitabine monotherapy (23.0%). Frequent second-line therapies were gemcitabine monotherapy (25.0%), fluorouracil (5-FU) + oxaliplatin (21.8%), and gemcitabine + nab-paclitaxel (16.7%). Most frequent first- to second-line treatment sequences were gemcitabine + nab-paclitaxel followed by fluoropyrimidine combinations. Longest unadjusted estimated mOS was observed with (m)FOLFIRINOX followed by gemcitabine-based combinations (19.1 months). Multivariate analysis identified significant prognostic/predictive factors for OS and PFS including performance status and carbohydrate antigen 19-9 (CA 19-9) levels.

conclusionsTreatment and treatment sequences were generally in accordance with guidelines at the time of the study. Identification of prognostic/predictive factors for survival may help inform the individualised management of mPAC patients in the future.

Indexed as

AdenocarcinomaPancreatic NeoplasmsAntineoplastic Combined Chemotherapy ProtocolsEuropeGemcitabineHumansMultivariate AnalysisPrognosisRetrospective StudiesGemcitabineMetastaticPancreatic cancerPrognostic factorsReal-world dataSurvival

Identifiers

PMID37723453
PMCPMC10506331
OpenAlexW4386836066

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.