Evidence map›Paper›PMID 29147415›Full record

ArticleWorld journal of oncology2015

Thoracoscore and European Society Objective Score Fail to Predict Mortality in the UK.

Annabel Sharkey, Priyadharshanan Ariyaratnam, Vladimir Anikin, Elizabeth Belcher, Simon Kendall, Eric Lim, Babu Naidu, Wyn Parry, Mahmoud Loubani

Abstract read
In one paragraph

Article in World journal of oncology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
  2. Predicthor: AI-Powered Predictive Risk Model for 30-Day Mortality and 30-Day Complications in Patients Undergoing Thoracic Surgery for Lung Cancer.Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2025
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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

9 authors.

Annabel SharkeyDepartment of Cardiothoracic Surgery, Castle Hill Hospital, Hull, HU16 5JQ, UK.
Priyadharshanan AriyaratnamDepartment of Cardiothoracic Surgery, Castle Hill Hospital, Hull, HU16 5JQ, UK.
Vladimir AnikinDepartment of Thoracic Surgery, Harefield Hospital Hill End Road, Harefield, Middlesex UB9 6JH, UK.
Elizabeth BelcherDepartment of Thoracic Surgery, John Radcliffe Hospital, Oxford, OX3 9DU, UK.
Simon KendallDepartment of Cardiothoracic Surgery, The James Cook University Hospital, Great Ayton, TS9 6BJ, UK.
Eric LimDepartment of Thoracic Surgery, Royal Brompton Hospital, Sydney Street, SW3 6NP, UK.
Babu NaiduDepartment of Thoracic Surgery, Heartlands Hospital, Birmingham, B9 5SS, UK.
Wyn ParryNorfolk and Norwich University Hospital Thoracic Surgical Unit, Colney Lane, Norwich, NR4 7UY, UK.
Mahmoud LoubaniDepartment of Cardiothoracic Surgery, Castle Hill Hospital, Hull, HU16 5JQ, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThoracoscore and the European Society Objective Score (ESOS.01) are two scoring systems used in thoracic surgery to estimate operative mortality risk. We aimed to evaluate if these are valid tools for use in the UK population.

methodsA multi-center, prospective study was carried out on patients undergoing lung resection at six UK centers. Data were submitted electronically using our online data collection tool. Data were analyzed to determine the factors affecting mortality. A receiver operating characteristic analysis determined the ability of the thoracoscore and ESOS.01 to predict in-hospital mortality.

resultsData were complete for 2,245 patients. The observed in-hospital mortality was 31 patients (1.38%). Mean thoracoscore was 2.66 (SD ± 3.21). Gender (P = 0.004, hazard ratio 4.786) and co-morbidity score (P = 0.005, hazard ratio 3.289) were identified as risk factors for mortality. A sub-analysis was performed using data from 1,912 patients with complete data for ESOS.01. In this group, mean thoracoscore was 2.55 (SD ± 2.94), mean ESOS.01 was 2.11(SD ± 1.41), and these were statistically significantly different (P < 0.0001). The observed in-hospital mortality was 28 patients (1.46%). The c-index for thoracoscore was 0.705, and for ESOS.01 was 0.739.

conclusionsBoth thoracoscore and ESOS.01 overestimated mortality in the UK population. There is a continued need to develop an appropriate risk prediction system for the UK.

Indexed as

ESOSLung resectionRisk scoringThoracic surgeryThoracoscore

Identifiers

PMID29147415
PMCPMC5649945

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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.