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Record W4292590329 · doi:10.3389/fnut.2022.897846

RETRACTED: Effect of supplemental parenteral nutrition on all-cause mortality in critically Ill adults: A meta-analysis and subgroup analysis

2022· article· en· W4292590329 on OpenAlexaboutno aff
Peng Li, Chunyan Zhong, Shi-bin Qiao, Junjun Liu

Post-publication record

NatureRetraction
ReasonConcerns/Issues about Data;Investigation by Journal/Publisher;Objections by Author(s);Unreliable Results and/or Conclusions;
Date12/1/2023 0:00
Flagged by OpenAlex?Yes

Source: Retraction Watch, joined by DOI. OpenAlex records retraction as is_retracted, a boolean over a state space with at least four values, so it cannot express an expression of concern, a correction or a reinstatement; it reports them as false, which reads as “fine”.

Bibliographic record

VenueFrontiers in Nutrition · 2022
Typearticle
Languageen
FieldNursing
TopicClinical Nutrition and Gastroenterology
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineOdds ratioSubgroup analysisParenteral nutritionCochrane LibraryObservational studyRandomized controlled trialMeta-analysisIntensive care unitMechanical ventilationInternal medicineMortality rate

Abstract

fetched live from OpenAlex

Objective Several observational studies have demonstrated that increased nutritional delivery by supplemental parenteral nutrition (SPN) plus enteral nutrition (EN) reduces the rate of all-cause mortality in critically ill patients. Therefore, we aimed to compare and evaluate the effect of SPN plus EN on all-cause mortality in critically ill adults. Methods Randomized controlled trials were retrieved from PubMed, Embase, Google Scholar, Cochrane Library, and Sinomed (up to May 2021). Adults with severe illness treated with SPN plus EN or with EN alone were enrolled. The risk of bias was evaluated using the Newcastle–Ottawa scale, and a meta-analysis was conducted using Stata software. The primary outcome was all-cause mortality and was evaluated by pooled odds ratio (OR) with the fixed-effects model. Required information size was also calculated using trial sequential analysis. Results We identified 10 randomized controlled trials, with a total of 6,908 patients. No significant differences in rate of all-cause mortality (OR = 0.96, 95% CI: 0.84–1.09, P = 0.518), intensive care unit (ICU) mortality (OR = 0.90, 95% CI: 0.75–1.07, P = 0.229), and hospital mortality (OR = 0.95, 95% CI: 0.82–1.10, P = 0.482) were found between the SPN plus EN and EN alone groups. SPN plus EN support was associated with a significantly decreased risk of infection (OR = 0.83, 95% CI: 0.74–0.93, P = 0.001), although the duration of mechanical ventilation [standardized mean difference (SMD) = − 0.20], length of hospital stay (SMD = 0.12), and ICU stay (SMD = − 0.57) were similar between the two groups (all P > 0.05). Meta-regression analyses showed no significant correlations between all-cause mortality and baseline clinical factors, including patients’ age, the Acute Physiology and Chronic Health Evaluation II (APACHE II) score, time of SPN initiation, and follow-up duration (all P > 0.05). Subgroup analysis showed that SPN plus EN support was associated with a trend toward decreased rate of all-cause mortality in studies with follow-up < 30 days (OR = 0.61, 95% CI: 0.36–1.02, P = 0.058). Trial sequence analysis showed that the required information size for all-cause mortality was 16,972, and the cumulative Z-curve indicated no significant differences in the risk of all-cause mortality between the two groups ( P > 0.05). Conclusion SPN plus EN support can significantly reduce the risk of infection, although it has no significant effect on all-cause mortality among critically ill patients. More studies are warranted to confirm these findings.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.016
metaresearch head score (Gemma)0.033
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (broad)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.977
Threshold uncertainty score0.086

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.033
Meta-epidemiology (narrow)0.0040.001
Meta-epidemiology (broad)0.0230.069
Bibliometrics0.0060.004
Science and technology studies0.0010.001
Scholarly communication0.0040.003
Open science0.0020.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0060.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.030
GPT teacher head0.333
Teacher spread0.303 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designMeta-analysis
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2022
Admission routes1
Has abstractyes

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