Evidence map›Paper›PMID 38520580›Full record

ArticleAnnals of surgical oncology2024

Predicting the Risk of Morbidity by GLIM-Based Nutritional Assessment and Body Composition Analysis in Oncologic Abdominal Surgery in the Context of Enhanced Recovery Programs : The PHase Angle Value in Abdominal Surgery (PHAVAS) Study.

Marta Sandini, Luca Gianotti, Salvatore Paiella, Davide P Bernasconi, Linda Roccamatisi, Simone Famularo, Matteo Donadon, Gabriele Di Lucca, Marco Cereda, Edoardo Baccalini and 10 more

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Annals of surgical oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 5% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors at 7 institutions in 1 country.

Marta SandiniDepartment of Medical, Surgical, and Neurologic Sciences, University of Siena, Siena, Italy.
Luca GianottiSchool of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy. luca.gianotti@unimib.it.
Salvatore PaiellaGeneral and Pancreatic Surgery Unit, Pancreas Institute, University of Verona Hospital, Verona, Italy.
Davide P BernasconiSchool of Medicine and Surgery, Bicocca Bioinformatics Biostatistics and Bioimaging Centre - B4, Milano - Bicocca University, Monza, Italy.
Linda RoccamatisiSchool of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy.
Simone FamularoDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy.
Matteo DonadonDepartment of Health Sciences, University of Piemonte Orientale, Novara, Italy.
Gabriele Di LuccaSchool of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy.
Marco CeredaSchool of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy.
Edoardo BaccaliniSchool of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy.
Giovanni CaprettiDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, Italy.
Gennaro NappoDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, Italy.
Amanda CasiratiClinical Nutrition and Dietetics Unit, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.
Marco BragaSchool of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy.
Alessandro ZerbiDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, Italy.
Guido TorzilliDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy.
Claudio BassiGeneral and Pancreatic Surgery Unit, Pancreas Institute, University of Verona Hospital, Verona, Italy.
Roberto SalviaGeneral and Pancreatic Surgery Unit, Pancreas Institute, University of Verona Hospital, Verona, Italy.
Emanuele CeredaClinical Nutrition and Dietetics Unit, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.
Riccardo CaccialanzaClinical Nutrition and Dietetics Unit, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.
University of Milano-Bicocca · ITIRCCS Humanitas Research Hospital · ITPoliclinico San Matteo Fondazione · ITUniversity of Verona · ITAzienda Ospedaliera San Gerardo · ITHumanitas University · ITAzienda Ospedaliero Universitaria Maggiore della Carita · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPreoperative nutritional status and body structure affect short-term prognosis in patients undergoing major oncologic surgery. Bioimpedance vectorial analysis (BIVA) is a reliable tool to assess body composition. Low BIVA-derived phase angle (PA) indicates a decline of cell membrane integrity and function. The aim was to study the association between perioperative PA variations and postoperative morbidity following major oncologic upper-GI surgery. PATIENTS AND

methodsBetween 2019 and 2022 we prospectively performed BIVA in patients undergoing surgical resection for pancreatic, hepatic, and gastric malignancies on the day before surgery and on postoperative day (POD) 1. Malnutrition was defined as per the Global Leadership Initiative on Malnutrition criteria. The PA variation (ΔPA) between POD1 and preoperatively was considered as a marker for morbidity. Uni and multivariable logistic regression models were applied.

resultsOverall, 542 patients with a mean age of 64.6 years were analyzed, 279 (51.5%) underwent pancreatic, 201 (37.1%) underwent hepatobiliary, and 62 (11.4%) underwent gastric resections. The prevalence of preoperative malnutrition was 16.6%. The overall morbidity rate was 53.3%, 59% in those with ΔPA < -0.5 versus 46% when ΔPA ≥ -0.5. Age [odds ratio (OR) 1.11; 95% confidence interval (CI) (1.00; 1.22)], pancreatic resections [OR 2.27; 95% CI (1.24; 4.18)], estimated blood loss (OR 1.20; 95% CI (1.03; 1.39)], malnutrition [OR 1.77; 95% CI (1.27; 2.45)], and ΔPA [OR 1.59; 95% CI (1.54; 1.65)] were independently associated with postoperative complications in the multivariate analysis.

conclusionsPatients with preoperative malnutrition were significantly more likely to develop postoperative morbidity. Moreover, a decrease in PA on POD1 was independently associated with a 13% increase in the absolute risk of complications. Whether proactive interventions may reduce the downward shift of PA and the complication rate need further investigation.

Indexed as

Body CompositionMalnutritionNutritional StatusNutrition AssessmentPancreatic NeoplasmsPostoperative ComplicationsAgedElectric ImpedanceEnhanced Recovery After SurgeryFemaleFollow-Up StudiesHumansLiver NeoplasmsMaleMiddle AgedMorbidity

Identifiers

PMID38520580
PMCPMC11076333
OpenAlexW4393119353

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.