ArticleInternational journal of medical sciences2022
Machine Learning-based Correlation Study between Perioperative Immunonutritional Index and Postoperative Anastomotic Leakage in Patients with Gastric Cancer.
Article in International journal of medical sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.
What it found
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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
12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 21 citations in OpenAlex.
- Systematic review and meta-analysis of risk prediction models for anastomotic leak after gastric cancer surgery.Frontiers in medicine · 2026Pooled it
- Systematic evaluation of machine learning models for postoperative surgical site infection prediction.PloS one · 2024Pooled it
- Application of machine learning algorithms for prediction of abortion and its determinants among women of reproductive-age in East African countries.Scientific reports · 2026Article
- Machine Learning Models Using Post-operative CRP Trends to Predict Colorectal Anastomotic Leak: A Pilot Study.Cureus · 2025Article
- Machine learning-based real-time prediction of duodenal stump leakage from gastrectomy in gastric cancer patients.Frontiers in surgery · 2025Article
- LightGBM is an Effective Predictive Model for Postoperative Complications in Gastric Cancer: A Study Integrating Radiomics with Ensemble Learning.Journal of imaging informatics in medicine · 2024Article
- Employing machine learning techniques for prediction of micronutrient supplementation status during pregnancy in East African Countries.Scientific reports · 2024Article
- Predicting adverse birth outcome among childbearing women in Sub-Saharan Africa: employing innovative machine learning techniques.BMC public health · 2024Article
- Employing advanced supervised machine learning approaches for predicting micronutrient intake status among children aged 6-23 months in Ethiopia.Frontiers in nutrition · 2024Article
- Identification of intraoperative hypoxemia and hypoproteinemia as prognostic indicators in anastomotic leakage post-radical gastrectomy: an 8-year multicenter study utilizing machine learning techniques.Frontiers in oncology · 2024Article
- Predicting place of delivery choice among childbearing women in East Africa: a comparative analysis of advanced machine learning techniques.Frontiers in public health · 2024Article
- Clinical Effects of the Neutrophil-to-Lymphocyte Ratio/Serum Albumin Ratio in Patients with Gastric Cancer after Gastrectomy.Journal of personalized medicine · 2023Article
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 at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
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.