Evidence map›Paper›PMID 31075116›Full record

Observational studyPloS one2019

Biotransformation profiles from a cohort of chronic fatigue women in response to a hepatic detoxification challenge.

Elardus Erasmus, Francois E Steffens, Mari van Reenen, B Chris Vorster, Carolus J Reinecke

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Trial
  2. Article
  3. A laboratory approach for characterizing chronic fatigue: what does metabolomics tell us?Metabolomics : Official journal of the Metabolomic Society · 2019
    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

5 authors at 2 institutions in 1 country.

Elardus ErasmusHuman Metabolomics, North-West University (Potchefstroom Campus), South Africa.ORCID 0000-0002-8135-9773
Francois E SteffensDepartment of Consumer Science, University of Pretoria, Pretoria, South Africa.
Mari van ReenenHuman Metabolomics, North-West University (Potchefstroom Campus), South Africa.
B Chris VorsterHuman Metabolomics, North-West University (Potchefstroom Campus), South Africa.
Carolus J ReineckeHuman Metabolomics, North-West University (Potchefstroom Campus), South Africa.
North-West University · ZAUniversity of Pretoria · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic fatigue, in its various manifestations, frequently co-occur with pain, sleep disturbances and depression and is a non-communicable condition which is rapidly becoming endemic worldwide. However, it is handicapped by a lack of objective definitions and diagnostic measures. This has prompted the World Health Organization to develop an international instrument whose intended purpose is to improve quality of life (QOL), with energy and fatigue as one domain of focus. To complement this objective, the interface between detoxification, the exposome, and xenobiotic-sensing by nuclear receptors that mediate induction of biotransformation-linked genes, is stimulating renewed attention to a rational development of strategies to identify the metabolic profiles in complex multifactorial conditions like fatigue. Here we present results from a seven-year study of a cohort of 576 female patients suffering from low to high levels of chronic fatigue, in which phase I and phase II biotransformation was assessed. The biotransformation profiles used were based on hepatic detoxification challenge tests through oral caffeine, acetaminophen and acetylsalicylic acid ingestion coupled with oxidative stress analyses. The interventions indicated normal phase I but increased phase II glucuronidation and glycination conjugation. Complementarity was indicated between a fatigue scale, medical symptoms and associated energy-related parameters by application of Chi-square Automatic Interaction Detector (CHAID) analysis. The presented study provides a cluster of data from which we propose that multidisciplinary inputs from the combination of a fatigue scale, medical symptoms and biotransformation profiles provide the rationale for the development of a comprehensive laboratory instrument for improved diagnostics and personalized interventions in patients with chronic fatigue with a view to improving their QOL.

Indexed as

BiotransformationAdolescentAdultAgedAged, 80 and overCohort StudiesFatigueFatigue Syndrome, ChronicHumansLiverMetabolic Detoxication, Phase IMetabolic Detoxication, Phase IIMiddle AgedProspective StudiesQuality of LifeYoung Adult

Identifiers

PMID31075116
PMCPMC6510445
OpenAlexW2944804242

What Socratic 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 Socratic graph.