Evidence map›Paper›PMID 35807070›Full record

ArticleJournal of clinical medicine2022

Reliable Prediction of Post-Operative Complications' Rate Using the G8 Screening Tool: A Prospective Study on Elderly Patients Undergoing Surgery for Kidney Cancer.

Fabio Traunero, Francesco Claps, Tommaso Silvestri, Maria Carmen Mir, Luca Ongaro, Michele Rizzo, Andrea Piasentin, Giovanni Liguori, Francesca Vedovo, Antonio Celia and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2022. 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
1.3field-weighted citation impact, top 23% 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

2 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. 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

12 authors at 3 institutions in 2 countries.

Fabio TrauneroUrology Clinic, Department of Medical, Surgical and Health Sciences, Cattinara Hospital, University of Trieste, Strada di Fiume, 447, 34149 Trieste, Italy.ORCID 0000-0002-3272-528X
Francesco ClapsUrology Clinic, Department of Medical, Surgical and Health Sciences, Cattinara Hospital, University of Trieste, Strada di Fiume, 447, 34149 Trieste, Italy.ORCID 0000-0003-2812-5553
Tommaso SilvestriDepartment of Urology, San Bassiano Hospital, 36061 Bassano del Grappa, Italy.
Maria Carmen MirDepartment of Urology, Valencian Oncology Institute Foundation, FIVO, 46009 Valencia, Spain.
Luca OngaroUrology Clinic, Department of Medical, Surgical and Health Sciences, Cattinara Hospital, University of Trieste, Strada di Fiume, 447, 34149 Trieste, Italy.ORCID 0000-0001-5649-4095
Michele RizzoUrology Clinic, Department of Medical, Surgical and Health Sciences, Cattinara Hospital, University of Trieste, Strada di Fiume, 447, 34149 Trieste, Italy.
Andrea PiasentinUrology Clinic, Department of Medical, Surgical and Health Sciences, Cattinara Hospital, University of Trieste, Strada di Fiume, 447, 34149 Trieste, Italy.ORCID 0000-0001-6678-669X
Giovanni LiguoriUrology Clinic, Department of Medical, Surgical and Health Sciences, Cattinara Hospital, University of Trieste, Strada di Fiume, 447, 34149 Trieste, Italy.
Francesca VedovoUrology Clinic, Department of Medical, Surgical and Health Sciences, Cattinara Hospital, University of Trieste, Strada di Fiume, 447, 34149 Trieste, Italy.
Antonio CeliaDepartment of Urology, San Bassiano Hospital, 36061 Bassano del Grappa, Italy.
Carlo TrombettaUrology Clinic, Department of Medical, Surgical and Health Sciences, Cattinara Hospital, University of Trieste, Strada di Fiume, 447, 34149 Trieste, Italy.ORCID 0000-0003-0237-544X
Nicola PavanUrology Clinic, Department of Medical, Surgical and Health Sciences, Cattinara Hospital, University of Trieste, Strada di Fiume, 447, 34149 Trieste, Italy.ORCID 0000-0001-7355-7625
University of Trieste · ITOspedale San Bassiano · ITFundación Instituto Valenciano de Oncología · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the last years the incidence of renal neoplasms has been steadily increasing, along with the average age of patients at the time of diagnosis. Surgical management for localized disease is becoming more challenging because of patients’ frailty. We conducted a multi-center prospective study to evaluate the role of the G8 as a screening tool in the assessment of intra and post-operative complications of elderly patients (≥70 y.o.) undergoing surgery for kidney cancer. A total of 162 patients were prospectively enrolled between January 2015 to January 2019 and divided into two study groups (frail vs. not-frail) according to their geriatric risk profile based on G8 score. Several factors (i.e., age, CCI, ASA score, preoperative anemia, RENAL score, surgical procedures, and techniques) were analyzed to identify whether any of them would configure as a statistically significant predictor of surgical complications. According to the G8 Score, 90 patients were included in the frail group. A total of 52 frail patients vs. 4 non-frail patients developed a postoperative complication of any kind (p < 0.001). Of these, 11 were major complications and all occurred in the frail group. Our results suggest that the G8 screening tool is an effective and useful instrument to predict the risk of overall complications in elderly patients prior to renal surgery.

Indexed as

elderlyfrailtyG8geriatric assessmentkidney cancerpreoperative assessmenturological surgery

Identifiers

PMID35807070
PMCPMC9267910
OpenAlexW4283764297

What OpenQuestion holds

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LicenceCC BY
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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.