ArticleAnnals of medicine and surgery (2012)2024
The prevalence and associated factors of intraoperative hypotension following thoracic surgery in resources limited area, 2023: multicentre approach.
Article in Annals of medicine and surgery (2012), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled 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.
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
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Development of a machine learning algorithm model to predict intraoperative hypotension in elderly patients undergoing thoracic and abdominal surgeries.Open medicine (Warsaw, Poland) · 2026Article
- Predictors of Postoperative Pneumonia Following Anatomical Lung Resections in Thoracic Surgery.Journal of clinical medicine · 2025Article
- Predicting early postoperative hypotension after lung resection: a multiparameter model integrating non-invasive hemodynamic profiling and inferior vena cava collapsibility index (observational study).BMC anesthesiology · 2025Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Hypotension is an independent predictor of long-term patient morbidity and duration of hospital stay. Multiple factors contribute to the development of intraoperative hypotension. Prevention and treatment of these factors may reduce patients' hypotension and its associated morbidity and mortality. This study aimed to assess the prevalence and associated factors of intraoperative hypotension in patients undergoing elective thoracic surgery. Methods: This institution-based cross-sectional study was conducted among 174 adult patients who underwent elective thoracic surgery. A systematic random sampling technique was used, and quantitative data were collected through interviews and data retrieval from charts via a pretested questionnaire. Both bivariable and multivariable logistic regression analyses were performed to evaluate the associations between independent and dependent variables. The level of statistical significance was defined as a Results: In general, information was collected from 174 patients during the study period. The results of the present study revealed that 65 (41%) patients developed intraoperative hypotension (95% CI: 36.43-48%). Intraoperative blood loss was significantly associated with intraoperative hypotension [AOR=9.58, 95% CI (2.57-35.8)] ( Conclusion and Recommendation: The findings of this study revealed high rates of intraoperative hypotension episodes, which were 41%, in patients who underwent elective thoracic surgery. Age, ASA class, type of intraoperative blood loss, type of procedure pre-existence comorbidity, and duration of surgery were predictors of intraoperative hypotension in patients who underwent elective thoracic surgery. The anaesthetist's, surgeon, and PACU staff's understanding of these factors is very crucial for close follow-up of this group of patients.
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.