Evidence map›Paper›PMID 31159248›Full record

ReviewJournal of clinical medicine2019

Nutritional Laboratory Markers in Malnutrition.

Ulrich Keller

Open access · goldAbstract readReview
In one paragraph

Review in Journal of clinical medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 393 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
393citing papers in PubMed, 6 pooled it
34.1field-weighted citation impact, top 1% 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

393 citing papers in PubMed, 6 syntheses or guidelines pooled it, 705 citations in OpenAlex.

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  10. Serum Albumin Level at Intensive Care Unit Admission and Delirium Duration and Severity in Critically Ill Adults.American journal of critical care : an official publication, American Association of Critical-Care Nurses · 2024
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333 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Ulrich KellerFMH Endocrinology-Diabetology, Fichtlirain 33, CH-4105 Biel-Benken, Basel, Switzerland. ulrich.keller@unibas.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Serum visceral proteins such as albumin and prealbumin have traditionally been used as markers of the nutritional status of patients. Prealbumin is nowadays often preferred over albumin due to its shorter half live, reflecting more rapid changes of the nutritional state. However, recent focus has been on an appropriate nutrition-focused physical examination and on the patient's history for diagnosing malnutrition, and the role of inflammation as a risk factor for malnutrition has been more and more recognized. Inflammatory signals are potent inhibitors of visceral protein synthesis, and the use of these proteins as biomarkers of the nutritional status has been debated since they are strongly influenced by inflammation and less so by protein energy stores. The current consensus is that laboratory markers could be used as a complement to a thorough physical examination. Other markers of the nutritional status such as urinary creatinine or 3-methylhistidine as indicators of muscle protein breakdown have not found widespread use. Serum IGF-1 is less influenced by inflammation and falls during malnutrition. However, its concentration changes are not sufficiently specific to be useful clinically as a marker of malnutrition, and serum IGF-1 has less been used in clinical trials. Nevertheless, biomarkers of malnutrition such as prealbumin may be of interest as easily measurable predictors of the prognosis for surgical outcomes and of mortality in severe illnesses.

Indexed as

albuminbiomarkerselderlyIGF-1inflammationmalnutritionnutritional assessmentprealbuminprognostic marker

Identifiers

PMID31159248
PMCPMC6616535
OpenAlexW2948541676

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.