Evidence map›Paper›PMID 24947328›Full record

ArticleInternational orthopaedics2014

Surgical outcome of malignant primary bone tumours in elderly and very elderly patients.

Tom Cosker, Philipp Lechler, Aashish Gulati, Duncan Whitwell, Hank Giele, Sally Trent, Nick Athanasou, Christopher Gibbons

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Article in International orthopaedics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 2 countries.

Tom CoskerOxford Sarcoma Service, Nuffield Orthopaedic Centre, 150 Windmill Road, Oxford, OX3 7LD, UK.
Philipp Lechler
Aashish Gulati
Duncan Whitwell
Hank Giele
Sally Trent
Nick Athanasou
Christopher Gibbons
Nuffield Orthopaedic Centre · GBUniversitätsklinikum Gießen und Marburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeElderly patients with bone cancer are thought to have poorer access to specialist treatment and therefore suboptimal outcome. The aim of this study was to review the clinical course, outcome and survivorship in geriatric patients with primary bone tumours.

methodsWe analysed 66 consecutive patients aged 60 years or older who were surgically treated for primary bone tumours between 1997 and 2012. The cohort was divided into two groups: elderly (60-70 years, n = 31) and very elderly (>70 years, n = 35). Clinicopathologic characteristics, treatment, outcome and survival were analysed. The mean follow up was 58.5 months (range two to 188).

resultsThere were 51 chondrosarcomas (grade I, n = 29; grade II, n = 15; grade III, n = 7), ten osteosarcomas and four of other primary malignant bone tumours. Twenty-three prostheses for joint reconstruction were implanted; procedures involving the transposition of free vascularised flaps were performed in six patients. Seven patients had amputation as a primary procedure, four in the elderly and three in the very elderly group. Local recurrence was recorded in eight cases (12.1%). Secondary surgery was performed in nine (13.6%) patients (six recurrences, two haematomas, one deep infection). At final follow up, 77.3% of patients were alive (elderly 83.9%, very elderly 71.4%) and there was no significant difference in the five-year survival rates between both groups.

conclusionsElderly and very elderly patients with bone tumours receive satisfactory treatment and achieve good surgical outcome. Treatment decisions in the geriatric population should not be influenced by age alone.

Indexed as

AgedAged, 80 and overAge FactorsBone NeoplasmsFemaleHumansMaleMiddle AgedSurvival AnalysisTreatment Outcome

Identifiers

PMID24947328
OpenAlexW2100185417

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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.