Evidence map›Paper›PMID 26936031›Full record

ReviewCurrent gastroenterology reports2016

Can Nutritional Assessment Tools Predict Response to Nutritional Therapy?

Chirag Patel, Endashaw Omer, Sarah J Diamond, Stephen A McClave

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current gastroenterology reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Measuring and monitoring lean body mass in critical illness.Current opinion in critical care · 2018
    Review
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

4 authors.

Chirag PatelDepartment of Medicine, University of Louisville School of Medicine, 550 S. Jackson St, Louisville, KY, 40205, USA.
Endashaw OmerDepartment of Medicine, University of Louisville School of Medicine, 550 S. Jackson St, Louisville, KY, 40205, USA.
Sarah J DiamondDivision of Gastroenterology and Hepatology, Oregon Health Sciences University, Portland, OR, USA.
Stephen A McClaveDepartment of Medicine, University of Louisville School of Medicine, 550 S. Jackson St, Louisville, KY, 40205, USA. samcclave@louisville.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traditional tools and scoring systems for nutritional assessment have focused solely on parameters of poor nutritional status in the past, in an effort to define the elusive concept of malnutrition. Such tools fail to account for the contribution of disease severity to overall nutritional risk. High nutritional risk, caused by either deterioration of nutritional status or greater disease severity (or a combination of both factors), puts the patient in a metabolic stress state characterized by adverse outcome and increased complications. Newer scoring systems for determining nutritional risk, such as the Nutric Score and the Nutritional Risk Score-2002 have created a paradigm shift connecting assessment and treatment with quality outcome measures of success. Clinicians now have the opportunity to identify high risk patients through their initial assessment, provide adequate or sufficient nutrition therapy, and expect improved patient outcomes as a result. These concepts are supported by observational and prospective interventional trials. Greater clinical experience and refinement in these scoring systems are needed in the future to optimize patient response to nutrition therapy.

Indexed as

Nutrition AssessmentNutrition TherapyHumansNutritional StatusNutrition DisordersPatient SelectionSeverity of Illness IndexMalnutritionNutritional assessmentNutritional risk

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.