Evidence map›Paper›PMID 29169392›Full record

ArticleBMC surgery2017

Prognostic role of nodal ratio, LODDS, pN in patients with pancreatic cancer with venous involvement.

Giovanni Ramacciato, Giuseppe Nigri, Niccolo' Petrucciani, Antonio Daniele Pinna, Matteo Ravaioli, Elio Jovine, Francesco Minni, Gian Luca Grazi, Piero Chirletti, Giuseppe Tisone and 3 more

Abstract readMulticenter Study
In one paragraph

Article in BMC surgery, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

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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.

Giovanni RamacciatoDepartment of Medical and Surgical Sciences and Translational Medicine, Faculty of Medicine and Psychology, St Andrea Hospital, Sapienza University, General Surgery Unit, Via di Grottarossa 1037, 00189, Rome, Italy.
Giuseppe NigriDepartment of Medical and Surgical Sciences and Translational Medicine, Faculty of Medicine and Psychology, St Andrea Hospital, Sapienza University, General Surgery Unit, Via di Grottarossa 1037, 00189, Rome, Italy. giuseppe.nigri@uniroma1.it.ORCID http://orcid.org/0000-0002-7656-7789
Niccolo' PetruccianiDepartment of Medical and Surgical Sciences and Translational Medicine, Faculty of Medicine and Psychology, St Andrea Hospital, Sapienza University, General Surgery Unit, Via di Grottarossa 1037, 00189, Rome, Italy.
Antonio Daniele PinnaDepartment of Medical and Surgical Sciences-DIMEC, S. Orsola-Malpighi Hospital, Alma Mater Studiorum, University of Bologna, General Surgery and Transplantation Unit, Bologna, Italy.
Matteo RavaioliDepartment of Medical and Surgical Sciences-DIMEC, S. Orsola-Malpighi Hospital, Alma Mater Studiorum, University of Bologna, General Surgery and Transplantation Unit, Bologna, Italy.
Elio JovineGeneral Surgery Unit, 'Maggiore' Hospital, Bologna, Italy.
Francesco MinniDepartment of Medical and Surgical Sciences (DIMEC), Alma Mater Studiorum, S. Orsola-Malpighi Hospital, University of Bologna, General Surgery Unit, Bologna, Italy.
Gian Luca GraziRegina Elena National Cancer Institute IFO, Hepato-pancreato-biliary Surgery Unit, Rome, Italy.
Piero ChirlettiDepartment of Surgical Sciences, Sapienza University of Rome, Policlinico Umberto I Hospital, General Surgery Unit, Rome, Italy.
Giuseppe TisoneDepartment of Experimental Medicine and Surgery, Liver Unit, Tor Vergata University of Rome, Rome, Italy.
Fabio FerlaDivision of General Surgery and Transplantation Surgery, Niguarda Hospital, Milan, Italy.
Niccolo' NapoliDivision of General Surgery and Transplantation Surgery, Pisa University Hospital, Pisa, Italy.
Ugo BoggiDivision of General Surgery and Transplantation Surgery, Pisa University Hospital, Pisa, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe UICC/AJCC TNM staging system classifies lymph nodes as N0 and N1 in pancreatic cancer. Aim of the study is to determine whether the number of examine nodes, the nodal ratio (NR) and the logarithm odds of positive lymph nodes (LODDS) may better stratify the prognosis of patients undergoing pancreatectomy combined with venous resection for pancreatic cancer with venous involvement.

methodsA multicenter database of 303 patients undergoing pancreatectomy in 9 Italian referral centers was analyzed. The prognostic impact of number of retrieved and examined nodes, NR, LODDS was analyzed and compared with ROC curves analysis, Pearson test, univariate and multivariate analysis.

resultsThe number of metastatic nodes, pN, the NR and LODDS was significantly correlated with survival at multivariate analyses. The corresponding AUC for the number of metastatic nodes, pN, the NR and LODDS were 0.66, 0.69, 0.63 and 0.65, respectively. The Pearson test showed a significant correlation between the number of retrieved lymph nodes and number of metastatic nodes, pN and the NR. LODDS had the lower coefficient correlation. Concerning N1 patients, the NR, the LODDS and the number of metastatic nodes were able to significantly further stratify survival (p = 0.040; p = 0.046; p = 0.038, respectively).

conclusionsThe number of examined lymph nodes, the NR and LODDS are useful for further prognostic stratification of N1 patients in the setting of pancreatectomy combined with PV/SMV resection. No superiority of one over the others methods was detected.

Indexed as

AgedFemaleHumansItalyLymph NodesMaleMiddle AgedMultivariate AnalysisNeoplasm StagingPancreatectomyPancreatic NeoplasmsPrognosisRetrospective StudiesROC CurveLoddsNodal ratioNodal stagingPancreatectomyPancreatic cancerPortal veinPrognosisSuperior mesenteric veinTnmVenous invasion

Identifiers

PMID29169392
PMCPMC5701499

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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.