Evidence map›Paper›PMID 42452902›Full record

SynthesisStress and health : journal of the International Society for the Investigation of Stress2026

Biological Markers of Burnout Severity: A Systematic Review.

Maddalena Balia, Franck Zenasni, Maryne Lepoittevin, Alaedine Benani, Renzo Bianchi, Adrien Julian, Sylvain Bodard, Marie Bringer

Abstract readSystematic Review
In one paragraph

Synthesis in Stress and health : journal of the International Society for the Investigation of Stress, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Maddalena BaliaPreventive Medicine, Data Science and AI Lab, Zoī, Paris, France.
Franck ZenasniLaboratoire de Psychologie et d'Ergonomie Appliquées (LaPEA), UMR 7708T, Université Paris Cité, Boulogne-Billancourt, France.ORCID https://orcid.org/0000-0002-9340-0999
Maryne LepoittevinPreventive Medicine, Data Science and AI Lab, Zoī, Paris, France.ORCID https://orcid.org/0009-0001-4159-244X
Alaedine BenaniPreventive Medicine, Data Science and AI Lab, Zoī, Paris, France.
Renzo BianchiDepartment of Psychology, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
Adrien JulianCentre Mémoire de Ressources et de Recherche, Poitiers University Hospital, Poitiers, France.
Sylvain BodardUniversité de Paris Cité, Hôpital Universitaire Necker Enfants Malades, Service d'Imagerie Adulte, AP-HP, Paris, France.
Marie BringerGroupe Hospitalier Universitaire (GHU) Paris-Psychiatrie et Neurosciences, Hôpital Sainte-Anne, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Burnout syndrome (BOS) represents an enduring challenge for preventive medicine. While biomarkers of chronic stress have been explored within the allostatic load framework, BOS lacks a consistent physiological signature, hindering early and comprehensive identification of individuals at risk. This systematic review synthesises current evidence on BOS-related biomarkers, aiming to identify potential physiological correlates. We conducted a comprehensive search of PubMed and EMBASE, yielding 111 studies evaluating 36 biomarkers in adult populations. Our analysis revealed inconsistent associations across most physiological systems, including the hypothalamic-pituitary-adrenal axis (e.g., cortisol, DHEA), the immune system, and cardiovascular parameters. While some biomarkers such as HbA1c and blood glucose showed relatively more consistent associations with BOS, the overall findings remain largely inconclusive. Overall, the current biological evidence is insufficient to identify a BOS biosignature that could support routine clinical diagnosis. Future research should prioritise a more unified and comprehensive definition of BOS and investigate physiological patterns within more standardized research frameworks to advance objective identification and prevention strategies.

Indexed as

BiomarkersBurnout, PsychologicalAllostasisHumansHydrocortisoneHypothalamo-Hypophyseal SystemPituitary-Adrenal SystemSeverity of Illness IndexBiomarkersHydrocortisoneallostatic loadbiomarkersburnoutpreventionsystematic review

Identifiers

PMID42452902
PMCPMC13370058

What Socratic 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 Socratic graph.