Evidence map›Paper›PMID 29923032›Full record

ArticleMedical oncology (Northwood, London, England)2018

Prognosis of elderly gastric cancer patients after surgery: a nomogram to predict survival.

Michela Roberto, Andrea Botticelli, Lidia Strigari, Michele Ghidini, Concetta Elisa Onesti, Margherita Ratti, Ilaria Benzoni, Claudio Pizzo, Rosa Falcone, Daniele Lomiento and 4 more

Abstract read
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In one paragraph

Article in Medical oncology (Northwood, London, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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  15. A Nomogram for Predicting Cancer-Specific Survival of Patients with Gastrointestinal Stromal Tumors.Medical science monitor : international medical journal of experimental and clinical research · 2020
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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

14 authors.

Michela RobertoMedical Oncology Unit, Clinical and Molecular Medicine Department, S Andrea Hospital, Sapienza University of Rome, Rome, Italy. michela.roberto@uniroma1.it.ORCID http://orcid.org/0000-0001-5339-8348
Andrea BotticelliMedical Oncology Unit, Clinical and Molecular Medicine Department, S Andrea Hospital, Sapienza University of Rome, Rome, Italy.
Lidia StrigariLaboratory of Medical Physics and Expert Systems, Reginal Elena National Cancer Institute, Rome, Italy.
Michele GhidiniOncology Unit, Oncology Department, ASST of Cremona, Hospital of Cremona, Cremona, Italy.
Concetta Elisa OnestiMedical Oncology Unit, Clinical and Molecular Medicine Department, S Andrea Hospital, Sapienza University of Rome, Rome, Italy.
Margherita RattiOncology Unit, Oncology Department, ASST of Cremona, Hospital of Cremona, Cremona, Italy.
Ilaria BenzoniGeneral Surgery Unit, Surgical Department, ASST of Cremona, Hospital of Cremona, Cremona, Italy.
Claudio PizzoOncology Unit, Oncology Department, ASST of Cremona, Hospital of Cremona, Cremona, Italy.
Rosa FalconeMedical Oncology Unit, Clinical and Molecular Medicine Department, S Andrea Hospital, Sapienza University of Rome, Rome, Italy.
Daniele LomientoGeneral Surgery Unit, Surgical Department, ASST of Cremona, Hospital of Cremona, Cremona, Italy.
Bianca Maria DonidaOncology Unit, Oncology Department, ASST of Cremona, Hospital of Cremona, Cremona, Italy.
Luigi TotaroGeneral Surgery Unit, Surgical Department, ASST of Cremona, Hospital of Cremona, Cremona, Italy.
Federica MazzucaMedical Oncology Unit, Clinical and Molecular Medicine Department, S Andrea Hospital, Sapienza University of Rome, Rome, Italy.
Paolo MarchettiMedical Oncology Unit, Clinical and Molecular Medicine Department, S Andrea Hospital, Sapienza University of Rome, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to identify clinicopathological factors associated with the outcome of elderly patients with gastric cancer (GC), and to construct a nomogram for individual risk prediction. Tumor characteristics of 143 patients aged ≥ 80 years underwent surgery for GC were collected and analyzed by uni- and multivariate analyses. A prognostic nomogram was constructed using the factors which resulted to be significantly associated with overall survival. Discrimination of nomogram was tested by Kaplan-Meier (KM) curves and boxplots. With a median follow up of 18.37 months, overall 1-year survival rate was 51% and it was 60 and 40% for older and younger than 83 years, respectively (P = 0.003). Univariate analysis indicated that age (P = 0.008), pre-operatory performance status (P < 0.001), depth of invasion (P = 0.007), lymph nodes involvement (P < 0.001), and residual tumor (P < 0.001) were significant prognostic factors. Based on these variables, a nomogram to predict 3, 6, 12, and 24 months survival probability after GC surgery was developed. KM and boxplots according to the range of nomogram total points highlighted the appropriateness of distinguish the patients' survival in all the subgroups. Moreover, this nomogram exhibited superior prognostic discrimination between intermediate stages (II-III) than AJCC-TNM classification. This study showed that after good surgical selection, the prognosis of elderly GC patients may be influenced by several clinicopathological factors. Therefore, a predictive nomogram to distinguish more accurately fit patients may allow physicians to individualize treatments and to detect those patients who may benefit from an intensive multidisciplinary approach.

Indexed as

NomogramsAged, 80 and overFemaleHumansItalyMalePrognosisRetrospective StudiesStomach NeoplasmsSurvival RateChemotherapyElderlyGastric cancerNomogramOlder adultsPrognosis

Identifiers

PMID29923032

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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.