ArticleIndian journal of anaesthesia2022
Thoracoscore: Does it predict mortality in the Indian scenario? - A retrospective study.
Article in Indian journal of anaesthesia, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- A simple prediction score for postoperative mortality after decortication.Journal of thoracic disease · 2023Article
- Ethnicity in Anaesthesia research: Time to search our own backyards!Indian journal of anaesthesia · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and Aims: Preoperative risk stratification helps in better prognostication and allocation of resources. However, risk scoring models are less often used in thoracic surgery. Thoracoscore, a risk score model for thoracic surgery was originally developed on a French population and was later validated in many countries. As there is no literature on its ability to predict mortality in the Indian population, we aimed to validate Thoracoscore in Indian thoracic surgical patients. Methods: This retrospective study was carried out in a tertiary care centre after obtaining institutional ethics committee clearance. Patients who were operated for lung pathologies via a posterolateral thoracotomy incision between January 2014 and December 2018 were included in the study. Data on Thoracoscore variables and few additional factors (pulmonary arterial hypertension (PAH), redo surgery, blood loss, blood transfusion, duration of anaesthesia, one lung ventilation and surgery) was collected along with observed mortality statistics. Mortality was predicted using online calculator from the site https://sfar.org/scores2/thoracoscore2.php.Significant continuous and categorical variables in causation of mortality were identified using unpaired t-test and Chi-square tests, respectively. These variables were subjected to multivariate logistic regression to find independent risk factors for mortality. The calibration and discrimination of the Thoracoscore model was analysed by using Hosmer-Lemeshow test and area under the curve of receiver operating characteristic curves. Results: Overall observed mortality in the study was 3.2% while predicted mortality was 0.44%. The Thoracoscore had poor calibration and fair discrimination ability. PAH and re-operative surgery along with Thoracoscore were found to be independent risk factors of mortality in thoracic surgery. Conclusion: Thoracoscore fails to predict mortality in the Indian population.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.