Evidence map›Paper›PMID 28902764›Full record

ArticlePancreas

Development of a Prognostic Model That Predicts Survival After Pancreaticoduodenectomy for Ampullary Cancer.

Michael Feretis, Tengyao Wang, Satheesh Iype, Adam Duckworth, Rebecca Brais, Bristi Basu, Neville V Jamieson, Emmanuel Huguet, Anita Balakrishnan, Asif Jah and 3 more

Abstract read
In one paragraph

Article in Pancreas. 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
–field-weighted citation impact
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.

  1. Review
  2. Article
  3. Review
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  5. Article
  6. Preoperative 2-[European radiology · 2021
    Article
  7. Article
  8. Article
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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.

Michael FeretisFrom the *HPB Unit and University Department of Surgery, Addenbrooke's Hospital; †Statistical Laboratory, Department of Statistics, University of Cambridge; and Departments of ‡Histopathology, §Oncology, Addenbrooke's Hospital, Cambridge, UK.
Tengyao Wang
Satheesh Iype
Adam Duckworth
Rebecca Brais
Bristi Basu
Neville V Jamieson
Emmanuel Huguet
Anita Balakrishnan
Asif Jah
Raaj K Praseedom
Simon J Harper
Siong-Seng Liau

Funding

Medical Research Council G1002543
6 · The paper itself

Abstract

objectivesThe aims of this study were to (i) identify independent predictors of survival after pancreaticoduodenectomy for ampullary cancer and (ii) develop a prognostic model of survival.

methodsData were analyzed retrospectively on 110 consecutive patients who underwent pancreaticoduodenectomy between 2002 and 2013. Subjects were categorized into 3 nodal subgroups as per the recently proposed nodal subclassification: N0 (node negative), N1 (1-2 metastatic nodes), or N2 (≥3 metastatic nodes). Clinicopathological features and overall survival were compared by Kaplan-Meier and Cox regression analyses.

resultsThe overall 1-, 3-, and 5-year survival rates were 79.8%, 42.2%, and 34.9%, respectively. The overall 1-, 3-, and 5-year survival rates for the N0 group were 85.2%, 71.9%, and 67.4%, respectively. The 1-, 3-, 5-year survival rates for the N1 and N2 subgroups were 81.5%, 49.4%, and 49.4% and 75%, 19.2%, and 6.4%, respectively (log rank, P < 0.0001). After performing a multivariate Cox regression analysis, vascular invasion and lymph node ratio were the only independent predictors of survival. Hence, a prediction model of survival was constructed based on those 2 variables.

conclusionsUsing data from a carefully selected cohort of patients, we created a pilot prognostic model of postresectional survival. The proposed model may help clinicians to guide treatments in the adjuvant setting.

Indexed as

Proportional Hazards ModelsAdultAgedAged, 80 and overAmpulla of VaterCommon Bile Duct NeoplasmsFemaleHumansKaplan-Meier EstimateLymphatic MetastasisMaleMiddle AgedMultivariate AnalysisPancreatic NeoplasmsPancreaticoduodenectomyPilot Projects

Identifiers

PMID28902764
PMCPMC5647108

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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.