Effects of Dairy Intake on Markers of Cardiometabolic Health in Adults: A Systematic Review with Network Meta-Analysis

Kiesswetter, Eva; Stadelmaier, Julia; Πετροπούλου, Μαρία; Morze, Jakub; Grummich, Kathrin; Roux, Isabelle; Lay, Roberta; Himmelsbach, Lisa; Kussmann, Martin; Roeger, Christine; Rubach, Malte; Hauner, Hans; Schwingshackl, Lukas

doi:10.1016/j.advnut.2023.03.004

Cited by 12 publications

(5 citation statements)

References 74 publications

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“…The latest scientific evidence, based on systematic reviews and meta-analyses of prospective cohort studies, shows neutral or beneficial associations between total milk consumption and cardiovascular (CV) and metabolic health outcomes (see Table 1). These studies showed that intake of total wholefat dairy (including milk) is not associated with CV risk factors in accordance with a recent systematic review on markers of cardiometabolic health (Kiesswetter et al, 2023). It is important to highlight that most of the scientific research has grouped dairy products together, therefore showing the effects of total dairy (using various definitions), which makes comparisons on associations of dairy with chronic disease complex.…”

Section: Cardiometabolic Healthsupporting

confidence: 76%

Dairy matrix: The case of milk

2023

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Section: Cardiometabolic Healthsupporting

confidence: 76%

Dairy matrix: The case of milk

2023

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“…Considering the reference standard 1 (i.e. original decisions from authors), sensitivity of GPT models to rule out citations during title and abstract screening for systematic reviews ranged from 81.3% (95% CI 77.1 to 84.9) for the review on the efficacy of primary treatment of confirmed COVID-19 in outpatient settings; to 99.2% (95% CI 99.0 to 99.4) for the review on dairy intake on intermediate disease markers in adults 22,24 . Specificity ranged from 9.1% (95%CI 6.4 to 12.7) for the review on dairy intake on intermediate disease markers in adults to 56.6% (95%CI 50.8 to 62.2) for the review on the efficacy of primary treatment of confirmed COVID-19 in outpatient settings 22,24 ( Table 2 ).…”

Section: Resultsmentioning

confidence: 99%

“…First, specificity seemed to be associated with the complexity of inclusion and exclusion criteria in our study. For example, in the review evaluating the effect of dairy intake on cardiometabolic health 24 , decisions often required expert knowledge beyond simply understanding the text (e.g., the protocol described eligible interventions as “Non-bovine milk and dairy products (e.g. from sheep, goats, buffalos, camels), milk/ protein isolates (e.g.…”

Section: Discussionmentioning

confidence: 99%

“…Unannotated bibliographic databases from five systematic reviews conducted by researchers from Cochrane Austria, Germany and France were used in this study: 1) a review on the efficacy of primary treatment of confirmed COVID-19 in outpatient settings (Sommer et al, 2022) 22 ; 2) a review on the efficacy of outpatient treatment options for the omicron variant of SARS-CoV-2 (Sommer et al, 2023) 23 ; 3) a methodological review on the epidemiology and reporting characteristics of non-randomized studies of pharmacologic treatment (unpublished); 4) a review on the effects of dairy intake on intermediate disease markers in adults (Kiesswetter et al, 2023) 24 ; and 5) a Cochrane review on systemic pharmacological treatments for chronic plaque psoriasis (Sbidian et al, 2023) 25 . In all systematic reviews, decisions to include a citation beyond title and abstract screening were performed by two reviewers in duplicate and independently.…”

Section: Methodsmentioning

confidence: 99%

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Sensitivity, specificity and avoidable workload of using a large language models for title and abstract screening in systematic reviews and meta-analyses

Tran,

Gartlehner,

Yaacoub

et al. 2023

Preprint

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ImportanceSystematic reviews are time-consuming and are still performed predominately manually by researchers despite the exponential growth of scientific literature.ObjectiveTo investigate the sensitivity, specificity and estimate the avoidable workload when using an AI-based large language model (LLM) (Generative Pre-trained Transformer [GPT] version 3.5-Turbo from OpenAI) to perform title and abstract screening in systematic reviews.Data SourcesUnannotated bibliographic databases from five systematic reviews conducted by researchers from Cochrane Austria, Germany and France, all published after January 2022 and hence not in the training data set from GPT 3.5-Turbo.DesignWe developed a set of prompts for GPT models aimed at mimicking the process of title and abstract screening by human researchers. We compared recommendations from LLM to rule out citations based on title and abstract with decisions from authors, with a systematic reappraisal of all discrepancies between LLM and their original decisions. We used bivariate models for meta-analyses of diagnostic accuracy to estimate pooled estimates of sensitivity and specificity. We performed a simulation to assess the avoidable workload from limiting human screening on title and abstract to citations which were not “ruled out” by the LLM in a random sample of 100 systematic reviews published between 01/07/2022 and 31/12/2022. We extrapolated estimates of avoidable workload for health-related systematic reviews assessing therapeutic interventions in humans published per year.ResultsPerformance of GPT models was tested across 22,666 citations. Pooled estimates of sensitivity and specificity were 97.1% (95%CI 89.6% to 99.2%) and 37.7%, (95%CI 18.4% to 61.9%), respectively. In 2022, we estimated the workload of title and abstract screening for systematic reviews to range from 211,013 to 422,025 person-hours. Limiting human screening to citations which were not “ruled out” by GPT models could reduce workload by 65% and save up from 106,268 to 276,053-person work hours (i.e.,66 to 172-person years of work), every year.Conclusions and RelevanceAI systems based on large language models provide highly sensitive and moderately specific recommendations to rule out citations during title and abstract screening in systematic reviews. Their use to “triage” citations before human assessment could reduce the workload of evidence synthesis.

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“…Однако в другом обзоре литературы [5] установлено, что потребление молочных продуктов (независимо от со держания жира) не оказывает отрицательного влияния на антропометрические показатели, уровень липидов в крови и артериальное давление. Вместе с тем, как обез жиренные, так и жиросодержащие молочные продукты могут одновременно ухудшать гликемический контроль.…”

Section: оригинальные исследованияunclassified

Evaluation of the frequency of consumption of various groups of dairy products by students of the Peoples’ Friendship University of Russia

Khanferyan,

Radysh,

Semin

et al. 2023

Clinical nutrition and metabolism

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Introduction: Milk and dairy products are an important component of a balanced diet. Deficiency of milk and dairy products contributes to the violation of the main health indicators of various age groups of the population. The purpose of the study: analysis of the frequency of consumption of various groups of dairy products by students Materials and methods: 388 full-time students of the Medical Institute of the Russian University of Peoples' Friendship RUDN University took part in the cross-sectional study, of which 185 were men and 203 were women, the average age was 20.4+2.2 and 21.9+1.7 years, respectively. . Anthropometric measurements were performed according to the standard program. The frequency of consumption of various groups of dairy products was studied using a modified questionnaire on the frequency of consumption of products. Results: analysis of the questionnaire on the frequency of consumption of products, it have been demonstrated that approximately 16% of the respondents did not consume milk over the past month, about a third - cottage cheese, 22% - natural sour-milk products and 18% - sour-milk products with various fillers; hard cheeses and pickled cheeses are not used by 9% and 26% of respondents, respectively. 11% of respondents drink milk daily, 5% consume cottage cheese daily, 4% and 1% - fermented milk products, natural and with fillers, hard cheese -4%. Gender differences in the characteristics of consumer preferences were revealed, girls are less likely to use cream, sour cream, soft cheese, milk, which is obvious. Among girls, the prevalence of persons with overweight was higher and amounted to 25% (50 students), than among boys - 19% (35 students). A modest inverse relationship was found between daily milk intake and body weight and between milk intake and BMI (r=-0.61 and r=-0.65). Conclusions: among students, insufficient consumption of milk and dairy products was revealed, the relationship between the frequency of their consumption and indicators of physical development was noted.

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Effects of Dairy Intake on Markers of Cardiometabolic Health in Adults: A Systematic Review with Network Meta-Analysis

Cited by 12 publications

References 74 publications

Dairy matrix: The case of milk

Dairy matrix: The case of milk

Sensitivity, specificity and avoidable workload of using a large language models for title and abstract screening in systematic reviews and meta-analyses

Evaluation of the frequency of consumption of various groups of dairy products by students of the Peoples’ Friendship University of Russia

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