Evidence map›Paper›PMID 30992736›Full record

ReviewOxidative medicine and cellular longevity2019

Approaches and Methods to Measure Oxidative Stress in Clinical Samples: Research Applications in the Cancer Field.

Meghri Katerji, Maria Filippova, Penelope Duerksen-Hughes

Registry-linked trialOpen access · hybridAbstract readReview
In one paragraph

Review in Oxidative medicine and cellular longevity, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07376161 (The Effect of Pulmonary Rehabilitation on Inflammation and Oxidative Stress in COPD), which is not on this map. Cited by 177 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
177citing papers in PubMed, 1 pooled it
18.3field-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.

NCT07376161 enrolling by invitationnot on this mapstarted 2026, after this paper: background citation

The Effect of Pulmonary Rehabilitation on Inflammation and Oxidative Stress in COPD

Typeobservational_patient_registrySponsorEsra YazarRan2026 to 2026Enrolled27ConditionsInflamation, COPD, Oxidative Stress, Pulmonary RehabilitationArmsPulmonary Rehabilitation
3 · Its place in the literature

Who cites it

177 citing papers in PubMed, 1 synthesis or guideline pooled it, 411 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Potential of Saliva in Stroke Patients: A Review.International journal of molecular sciences · 2026
    Review
  10. Article
  11. Review
  12. Article
  13. A Composite Based onPolymers · 2026
    Article
  14. Review
  15. Article
  16. Impaired peripheral mononuclear cell metabolism in patients at risk of developing sepsis: A cohort study.Journal of critical care medicine (Universitatea de Medicina si Farmacie din Targu-Mures) · 2026
    Article
  17. Article
  18. Article
  19. Wound-Healing Efficacy ofPharmaceuticals (Basel, Switzerland) · 2025
    Article
  20. Article

117 more citing papers are in PubMed but not listed here.

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

3 authors at 1 institution in 1 country.

Meghri KaterjiDepartment of Basic Sciences, Loma Linda University School of Medicine, 11021 Campus Street, 101 Alumni Hall, Loma Linda, CA 92354, USA.
Maria FilippovaDepartment of Basic Sciences, Loma Linda University School of Medicine, 11021 Campus Street, 101 Alumni Hall, Loma Linda, CA 92354, USA.ORCID 0000-0002-7559-6713
Penelope Duerksen-HughesDepartment of Basic Sciences, Loma Linda University School of Medicine, 11021 Campus Street, 101 Alumni Hall, Loma Linda, CA 92354, USA.ORCID 0000-0002-0998-2157
Loma Linda University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reactive oxygen species (ROS) are common by-products of normal aerobic cellular metabolism and play important physiological roles in intracellular cell signaling and homeostasis. The human body is equipped with antioxidant systems to regulate the levels of these free radicals and maintain proper physiological function. However, a condition known as oxidative stress (OS) occurs, when ROS overwhelm the body's ability to readily detoxify them. Excessive amounts of free radicals generated under OS conditions cause oxidative damage to proteins, lipids, and nucleic acids, severely compromising cell health and contributing to disease development, including cancer. Biomarkers of OS can therefore be exploited as important tools in the assessment of disease status in humans. In the present review, we discuss different approaches used for the evaluation of OS in clinical samples. The described methods are limited in their ability to reflect on OS only partially, revealing the need of more integrative approaches examining both pro- and antioxidant reactions with higher sensitivity to physiological/pathological alternations. We also provide an overview of recent findings of OS in patients with different types of cancer. Identification of OS biomarkers in clinical samples of cancer patients and defining their roles in carcinogenesis hold great promise in promoting the development of targeted therapeutic approaches and diagnostic strategies assessing disease status. However, considerable data variability across laboratories makes it difficult to draw general conclusions on the significance of these OS biomarkers. To our knowledge, no adequate comparison has yet been performed between different biomarkers and the methodologies used to measure them, making it difficult to conduct a meta-analysis of findings from different groups. A critical evaluation and adaptation of proposed methodologies available in the literature should therefore be undertaken, to enable the investigators to choose the most suitable procedure for each chosen biomarker.

Indexed as

Biomedical ResearchHumansNeoplasmsOxidative Stress

Identifiers

PMID30992736
PMCPMC6434272
OpenAlexW2921726967

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.