ArticlePublic health nutrition2021
Development of predictive models for nutritional assessment in the elderly.
Article in Public health nutrition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Outcomes and other characteristics of the nutritional screening and assessment tools validation processes in hospitalized adults: a systematic review.Einstein (Sao Paulo, Brazil) · 2026Pooled it
- Establishment and validation of a nomogram model for riskprediction of hepatic encephalopathy: a retrospective analysis.Scientific reports · 2023Article
- Key Factors and AI-Based Risk Prediction of Malnutrition in Hospitalized Older Women.Geriatrics (Basel, Switzerland) · 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
objectiveTo propose malnutrition screening methods for the elderly population using predictive multivariate models. Due to the greater risk of nutrition deficiencies in ageing populations, nutritional assessment of the elderly is necessary in primary health care.
designThis was a cross-sectional study. Multivariate models were obtained by means of discriminant analysis and binary logistic regression. The diagnostic accuracy of each multivariate model was determined and compared with the Chang method based on receiver operating characteristic curves. The optimal cut-point, sensitivity, specificity and Youden index were estimated for each of the models.
settingThe province of Cordoba, Spain.
participantsTwo hundred fifty-five patients over the age of 65 years from three health centres and three nursing homes.
resultsFourteen models for predicting risk of malnutrition were obtained, six by discriminant multivariate analysis and eight by binary logistic regression. Sensitivity ranged from 55·6 to 93·1 % and specificity from 64·9 to 94 %. The maximum and minimum Youden indexes were 0·77 and 0·49, respectively. We finally selected a model which does not require a blood test.
conclusionsThe proposed models simplify nutritional assessment in the elderly and, except for number 2 of those calculated by binary logistic regression, have better diagnostic accuracy than the Spanish version of the Mini Nutritional Assessment screening tool. The selected model, whose validation is necessary for the future with other different samples, provides good diagnostic accuracy, and it can be performed by non-medical personnel, making it an accessible, easy and rapid tool in daily clinical practice.
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.