Evidence map›Paper›PMID 31727094›Full record

ArticleJournal of translational medicine2019

The OncoLifeS data-biobank for oncology: a comprehensive repository of clinical data, biological samples, and the patient's perspective.

Grigory Sidorenkov, Janny Nagel, Coby Meijer, Jacko J Duker, Harry J M Groen, Gyorgy B Halmos, Maaike H M Oonk, Rene J Oostergo, Bert van der Vegt, Max J H Witjes and 5 more

Abstract read
In one paragraph

Article in Journal of translational medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
–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

33 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Survivorship care for people affected by advanced or metastatic cancer: MASCC-ASCO standards and practice recommendations.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
    Pooled it
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  17. Evaluation of a new two-step frailty assessment of head and neck patients in a prospective cohort.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2024
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  19. Head and neck cancer patients with geriatric deficits are more often non-responders and lost from follow-up in quality of life studies.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2024
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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

15 authors.

Grigory SidorenkovDepartment of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Janny NagelDepartment of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Coby MeijerDepartment of Medical Oncology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Jacko J DukerDepartment of Pathology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Harry J M GroenDepartment of Pulmonary Diseases, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Gyorgy B HalmosDepartment of Otorhinolaryngology, Head and Neck Surgery, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Maaike H M OonkDepartment of Obstetrics and Gynaecology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Rene J OostergoDepartment of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Bert van der VegtDepartment of Pathology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Max J H WitjesDepartment of Oral and Maxillofacial Surgery, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Marcel NijlandDepartment of Haematology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Klaas HavengaDepartment of Surgery, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
John H MaduroDepartment of Radiation Oncology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Jourik A GietemaDepartment of Medical Oncology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Gertruida H de BockDepartment of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands. g.h.de.bock@umcg.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUnderstanding cancer heterogeneity, its temporal evolution over time, and the outcomes of guided treatment depend on accurate data collection in a context of routine clinical care. We have developed a hospital-based data-biobank for oncology, entitled OncoLifeS (Oncological Life Study: Living well as a cancer survivor), that links routine clinical data with preserved biological specimens and quality of life assessments. The aim of this study is to describe the organization and development of a data-biobank for cancer research.

resultsWe have enrolled 3704 patients aged ≥ 18 years diagnosed with cancer, of which 45 with hereditary breast-ovarian cancer (70% participation rate) as of October 24th, 2019. The average age is 63.6 ± 14.2 years and 1892 (51.1%) are female. The following data are collected: clinical and treatment details, comorbidities, lifestyle, radiological and pathological findings, and long-term outcomes. We also collect and store various biomaterials of patients as well as information from quality of life assessments.

conclusionEmbedding a data-biobank in clinical care can ensure the collection of high-quality data. Moreover, the inclusion of longitudinal quality of life data allows us to incorporate patients' perspectives and inclusion of imaging data provides an opportunity for analyzing raw imaging data using artificial intelligence (AI) methods, thus adding new dimensions to the collected data.

Indexed as

Biological Specimen BanksDatabases as TopicMedical OncologyFemaleHumansMaleMiddle AgedBiobankDatabaseGeneticsImagingNeoplasmsProteinsQuality of life

Identifiers

PMID31727094
PMCPMC6857242

What OpenQuestion holds

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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.