MétaCan
Menu
Back to cohort
Record W3037054333 · doi:10.1080/01635581.2020.1784441

Home Parenteral Nutrition in Patients with Advanced Cancer: A Systematic Review and Meta-Analysis

2020· review· en· W3037054333 on OpenAlexaboutno aff
Francis O’Hanlon, Konstantinos C. Fragkos, Lucia Fini, Pinal S. Patel, Shameer Mehta, Farooq Rahman, Simona Di

Bibliographic record

VenueNutrition and Cancer · 2020
Typereview
Languageen
FieldNursing
TopicClinical Nutrition and Gastroenterology
Canadian institutionsnot available
Fundersnot available
KeywordsParenteral nutritionMedicineMeta-analysisCohortCancerQuality of life (healthcare)Intestinal failureClinical endpointCohort studyCatheterPediatricsIntensive care medicineInternal medicineSurgeryRandomized controlled trial

Abstract

fetched live from OpenAlex

The use of home parenteral nutrition (HPN) in patients with incurable cancer remains controversial with significant variation worldwide. We aimed to systematically evaluate the literature from 1960 to 2018 examining the use of HPN in advanced cancer patients for all intestinal failure indications and assess the potential benefits/burdens of HPN in this cohort of patients. The primary end point was survival and secondary end points were quality of life and nutritional/performance status. Meta-analysis was performed with a random effects model, where suitable. Of 493 studies retrieved, 22 met the quality inclusion criteria. Studies were mainly conducted in Western countries (Italy, USA, Canada, Germany), including a total of 3564 patients (mean age 57.8 years). Mean duration for HPN was 5.0 mo. Mean overall survival was 7.3 mo. Patients with improved performance status survived for longer on HPN. Quality of life was sparsely reported though there was no observed negative impact of PN. HPN-related complications were reported in eight studies only and were mainly catheter-related blood stream infections. In conclusion, HPN is used for several indications in advanced cancer, though there is significant heterogeneity of results. Disparities in geographical distribution of the studies may reflect variation in accessing HPN.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.818
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0070.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.055
GPT teacher head0.371
Teacher spread0.315 · 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 teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreReview

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

Citations27
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueNutrition and CancerSame topicClinical Nutrition and GastroenterologyFrench-language works237,207