Evidence map›Paper›PMID 26958087›Full record

ArticleJournal of Cancer2016

Metabolic Determinants and Anthropometric Indicators Impact Clinical-pathological Features in Epithelial Ovarian Cancer Patients.

Patrizia Vici, Laura Pizzuti, Luigi Di Lauro, Laura Conti, Chiara Mandoj, Anna Antenucci, Giovanna Digiesi, Domenico Sergi, Antonella Amodio, Paolo Marchetti and 14 more

Abstract read
In one paragraph

Article in Journal of Cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Trial
  2. Observational
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

24 authors.

Patrizia Vici1. Division of Medical Oncology 2, Regina Elena National Cancer Institute, Rome, Italy.
Laura Pizzuti1. Division of Medical Oncology 2, Regina Elena National Cancer Institute, Rome, Italy.
Luigi Di Lauro1. Division of Medical Oncology 2, Regina Elena National Cancer Institute, Rome, Italy.
Laura Conti2. Division of Clinical Pathology, Regina Elena National Cancer Institute, Rome, Italy.
Chiara Mandoj2. Division of Clinical Pathology, Regina Elena National Cancer Institute, Rome, Italy.
Anna Antenucci2. Division of Clinical Pathology, Regina Elena National Cancer Institute, Rome, Italy.
Giovanna Digiesi2. Division of Clinical Pathology, Regina Elena National Cancer Institute, Rome, Italy.
Domenico Sergi1. Division of Medical Oncology 2, Regina Elena National Cancer Institute, Rome, Italy.
Antonella Amodio1. Division of Medical Oncology 2, Regina Elena National Cancer Institute, Rome, Italy.
Paolo Marchetti3. Oncology Unit, Sant'Andrea Hospital, La Sapienza University of Rome, Italy.
Francesca Sperati4. Biostatistics Unit-Scientific Direction, Regina Elena National Cancer Institute, Rome, Italy.
Mario Valle5. General Surgery, Regina Elena National Institute, Rome, Italy.
Alfredo Garofalo5. General Surgery, Regina Elena National Institute, Rome, Italy.
Enrico Vizza6. Gynecological Oncology, Regina Elena National Cancer Institute, Rome, Italy.
Giacomo Corrado6. Gynecological Oncology, Regina Elena National Cancer Institute, Rome, Italy.
Cristina Vincenzoni6. Gynecological Oncology, Regina Elena National Cancer Institute, Rome, Italy.
Federica Tomao7. Department of Gynecologic Oncology, University "Sapienza", Viale del Policlinico 155, 00161 Rome, Italy.
Ramy Kayal8. Department of Radiology, Regina Elena National Cancer Institute, Rome, Italy.
Annalise Marsella8. Department of Radiology, Regina Elena National Cancer Institute, Rome, Italy.
Mariantonia Carosi9. Department of Pathology, Regina Elena National Cancer Institute, Rome, Italy.
Barbara Antoniani9. Department of Pathology, Regina Elena National Cancer Institute, Rome, Italy.
Antonio Giordano10. Sbarro Institute for Cancer Research and Molecular Medicine e del Center for Biotechnology, College of Science and Technology, Temple University, Philadelphia, PA, USA; 11. Department of Medicine, Surgery and Neurosciences, University of Siena, Siena, Italy.
Marcello Maugeri-Saccà1. Division of Medical Oncology 2, Regina Elena National Cancer Institute, Rome, Italy; 12. Scientific Direction, Regina Elena National Cancer Institute, Rome, Italy.
Maddalena Barba1. Division of Medical Oncology 2, Regina Elena National Cancer Institute, Rome, Italy; 12. Scientific Direction, Regina Elena National Cancer Institute, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOver the last twenty years, the efforts of the scientific community devoted to the comprehension and treatment of ovarian cancer have remained poorly remunerative, with the case-fatality ratio of this disease remaining disappointedly high. Limited knowledge of the basic principles regulating ovarian carcinogenesis and factors impacting the course of disease may significantly impair our ability to intervene in early stages and lessen our expectations in terms of treatment outcomes. In the present study, we sought to assess whether metabolic factors and anthropometric indicators, i.e., pre-treatment fasting glucose and body mass index, are associated with renown cancer related prognostic factors such as tumour stage and grade at diagnosis. MATERIALS AND

methodsStudy participants were 147 women diagnosed with epithelial ovarian cancer and treated with platinum based regimens and/or surgery at the Regina Elena National Cancer Institute of Rome, Italy. Glucose levels were assessed at the institutional laboratories on venous blood collected in overnight fasting conditions and prior to any therapeutic procedure. Stage was coded according to the FIGO staging system based on the results of the diagnostic workup, while tumour grade was locally assessed by an expert pathologist. Participants' characteristics were descriptively analyzed for the overall study population and in a subgroup of 70 patients for whom data on body mass index (BMI) were available. FIGO stage and grade were compared by categories of pre-treatment fasting glucose defined upon the median value, i.e., 89 mg/dl. The association of interest was tested in regression models including BMI.

resultsFor the overall study population, patients in the lowest category of fasting glucose were significantly more likely to exhibit a FIGO stage III-IV at diagnosis compared with their counterpart in the highest glucose category (81.3 vs 66.7%, p: 0.021). Subgroup analysis in 70 patients with BMI data confirmed this association (81.5 vs 55.8, p: 0.049), which remained significant when tested in regression models including BMI (OR: 0.28 95% CI 0.086-0.89, p: 0.031). No relevant evidence emerged when testing the association between fasting glucose and tumour grade.

conclusionsIn patients diagnosed with epithelial ovarian cancer, pre-treatment glucose levels appear to be inversely associated with FIGO stage. Further studies are warranted to eventually confirm and correctly interpret the implications of this novel finding.

Indexed as

body mass indexepithelial ovarian cancerfasting glucoseFIGO stagetumour grade

Identifiers

PMID26958087
PMCPMC4780127

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