Evidence map›Paper›PMID 31467707›Full record

ArticleJournal of advanced research2019

Changes in life expectancy for cancer patients over time since diagnosis.

Laura Botta, Luigino Dal Maso, Stefano Guzzinati, Chiara Panato, Gemma Gatta, Annalisa Trama, Massimo Rugge, Giovanna Tagliabue, Claudia Casella, Bianca Caruso and 18 more

Open access · goldAbstract read
In one paragraph

Article in Journal of advanced research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
8.2field-weighted citation impact, top 3% 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

22 citing papers in PubMed, 37 citations in OpenAlex.

  1. Impact of social determinants on the development, diagnosis, and treatment of cancer: recommended public health interventions.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
  2. Life expectancy of cancer patients in China.Military Medical Research · 2026
    Article
  3. Article
  4. The Influence of Muscle Morphology on Oncological Outcomes: A Review.Journal of frailty, sarcopenia and falls · 2025
    Review
  5. A decision analysis of cancer patients and the consumption of ready-to-eat salad.Risk analysis : an official publication of the Society for Risk Analysis · 2025
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Special Issue "Novel Anti-Proliferative Agents".Pharmaceuticals (Basel, Switzerland) · 2023
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. The insurability of innovative pharmaceutical cancer technologies.Israel journal of health policy research · 2020
    Article
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

28 authors at 13 institutions in 1 country.

Laura BottaEvaluative Epidemiology Unit, Department of Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy.
Luigino Dal MasoCancer Epidemiology Unit, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, 33081 Aviano, PN, Italy.
Stefano GuzzinatiVeneto Tumor Registry, Azienda Zero, 35131 Padua, Italy.
Chiara PanatoCancer Epidemiology Unit, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, 33081 Aviano, PN, Italy.
Gemma GattaEvaluative Epidemiology Unit, Department of Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy.
Annalisa TramaEvaluative Epidemiology Unit, Department of Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy.
Massimo RuggeVeneto Tumor Registry, Azienda Zero, 35131 Padua, Italy.
Giovanna TagliabueLombardy Cancer Registry, Varese Province, Cancer Registry Unit, Department of Research, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy.
Claudia CasellaLiguria Cancer Registry, Clinical Epidemiology, Ospedale Policlinico San Martino IRCCS, 16132 Genova, Italy.
Bianca CarusoModena Cancer Registry, Public Health Department, AUSL di Modena, 41126 Modena, Italy.
Maria MichiaraParma Cancer Registry, Oncology Unit, Azienda Ospedaliera Universitaria di Parma, 43100 Parma, Italy.
Stefano FerrettiFerrara Cancer Registry, University of Ferrara, Local Health Authority Ferrara, 44121 Ferrara, Italy.
Flavio SensiNorth Sardinia Cancer Registry, Azienda Regionale per la Tutela della Salute, 07100 Sassari, Italy.
Rosario TuminoCancer Registry for the Provinces of Caltanisetta and Ragusa, Dipartimento di Prevenzione Medica, Azienda Sanitaria Provinciale (ASP) Ragusa, 97100 Ragusa, Italy.
Federica ToffoluttiCancer Epidemiology Unit, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, 33081 Aviano, PN, Italy.
Antonio Giampiero RussoCancer Registry of Milan, Epidemiology Unit, Agency for Health Protection of Milan, 20122 Milan, Italy.
Anna Luisa CaiazzoCancer Registry of Salerno Province, Azienda Sanitaria Provinciale (ASP) Salerno, 84014 Nocera Inferiore, Italy.
Lucia MangoneEpidemiology Unit, Azienda USL-IRCCS di Reggio Emilia, 42100 Reggio Emilia, Italy.
Walter MazzuccoSciences for Health Promotion (PROSAMI) Department, University of Palermo, and Clinical Epidemiology and Cancer Registry Unit, Palermo University Hospital "P. Giaccone", 90127 Palermo, Italy.
Silvia IacovacciCancer Registry of Latina Province, Direzione Azienda AUSL, Centro Direzionale Latina Fiori, 04100 Latina, Italy.
Paolo RicciMantova Cancer Registry, Epidemiology Unit, Agenzia di Tutela della Salute (ATS) della Val Padana, 46100 Mantova, Italy.
Gemma GolaComo Cancer Registry, UOC Epidemiologia-ATS Insubria, 21100 Varese, Italy.
Giuseppa CandelaTrapani Cancer Registry, Dipartimento di Prevenzione della Salute, Servizio Sanitario Regionale Sicilia, Azienda Sanitaria Provinciale (ASP), 91100 Trapani, Italy.
Antonella Sutera SardoCatanzaro Cancer Registry, Servizio di Epidemiologia e Statistica Sanitaria, Azienda Sanitaria Provinciale (ASP) Catanzaro, 88100 Catanzaro, Italy.
Roberta De AngelisUnit of Cancer Epidemiology and Genetics, Department of Oncology and Molecular Medicine, ISTITUTO SUPERIORE DI SANITA' (Italian National Institute of Health), 00161 Rome, Italy.
Carlotta BuzzoniTuscany Cancer Registry, Clinical and Descriptive Epidemiology Unit, Cancer Prevention and Research Institute (ISPRO), 50139 Florence, Italy.
Riccardo CapocacciaEditorial Board "Epidemiologia & Prevenzione", 20148 Milano, Italy.
AIRTUM Working Group
Fondazione IRCCS Istituto Nazionale dei Tumori · ITCentro di Riferimento Oncologico · ITIstituto per lo Studio e la Prevenzione Oncologica · ITRegione del Veneto · ITAgenzia Regionale per la Protezione Ambientale del Piemonte · ITAgenzia Regionale Sanitaria della Puglia · ITAzienda Sanitaria Unità Locale di Reggio Emilia · ITIstituto Superiore di Sanità · ITOspedale di Parma · ITOspedale Policlinico San Martino · ITUniversity of Ferrara · ITUniversity of Insubria · ITUniversity of Palermo · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aims of this study were to provide life expectancy (LE) estimates of cancer patients at diagnosis and LE changes over time since diagnosis to describe the impact of cancer during patients' entire lives. Cancer patients' LE was calculated by standard period life table methodology using the relative survival of Italian patients diagnosed in population-based cancer registries in 1985-2011 with follow-up to 2013. Data were smoothed using a polynomial model and years of life lost (YLL) were calculated as the difference between patients' LE and that of the age- and sex-matched general population. The YLL at diagnosis was highest at the youngest age at diagnosis, steadily decreasing thereafter. For patients diagnosed at age 45 years, the YLL was above 20 for lung and ovarian cancers and below 6 for thyroid cancer in women and melanoma in men. LE progressively increased in patients surviving the first years, decreasing thereafter, to approach that of the general population. YLL in the long run mainly depends on attained age. Providing quantitative data is essential to better define clinical follow-up and plan health care resource allocation. These results help assess when the excess risk of death from tumour becomes negligible in cancer survivors.

Indexed as

CancerCancer survivors(ICD-10), international classification of diseases tenth revision(ICD-O-3), international classification of diseases for oncology, third revisionISTAT, national institute of statisticsItalyLE, life expectancyLife expectancyNHL, non-Hodgkin lymphomaPopulation-based cancer registryRelative survivalRS, relative survivalYLL, years of life lost

Identifiers

PMID31467707
PMCPMC6710558
OpenAlexW2961991958

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.