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Record W4411951390 · doi:10.37275/scipsy.v6i2.192

Neutrophil to-lymphocyte (NLR), monocyte-to-lymphocyte ratio (MLR), and platelet-to-lymphocyte ratios (PLR) as biomarkers for suicidal behavior in children and adolescents with depression or anxiety: A systematic review and meta-analysis

2025· review· en· W4411951390 on OpenAlex
Ni Made Citra Riesti Wulan, Wayan Wiradana

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueScientia Psychiatrica · 2025
Typereview
Languageen
FieldNeuroscience
TopicTryptophan and brain disorders
Canadian institutionsnot available
Fundersnot available
KeywordsLymphocyteMonocyteAnxietyDepression (economics)ImmunologyPlateletMedicinePsychologyClinical psychologyPsychiatry

Abstract

fetched live from OpenAlex

Introduction: Suicidal behaviour is a global phenomenon that has reached epidemic proportions due to the consistent rise in both completed and attempted suicides year after year, particularly among children and adolescents, who are the fifth leading cause of death in this demographic globally. Every year, over 700,000 individuals die by suicide, which equates to one death every 40 seconds on average. The neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and monocyte-to-lymphocyte ratio (MLR) are blood markers of inflammatory status that are easy to use and reasonably priced. It was discovered that patients with depression or anxiety have higher NLR, MLR, and PLR. Thus far, there have been relatively few studies assessing biomarkers for the prognosis for suicidal behavior in children and adolescents with depression or anxiety and shown varying results. The aim of this meta-analysis is to assess NLR, MLR, PLR as predictive biomarkers for suicidal behavior in children and adolescents with depression or anxiety. Methods: A literature search was conducted through databases, such as PubMed, Cochrane, ScienceDirect, Ebsco, Springerlink to identify relevant topics up to March 2025. The inclusion criteria for this meta-analysis study were (1) studied patients with suicidal behavior in children and adolescents with depression or anxiety, (2) the study had to be a type of observational study that was reported the relationship between suicidal behavior in children and adolescents with depression or anxiety and NLR, MLR, PLR, (3) providing sufficient information about mean and standard deviation, (4) the publication language of studies is limited to English. The quality of research methods was assessed using a modified form of the Newcastle Ottawa Scale (NOS). The statistical analysis in this study was conducted using RevMan 5.4 software. Results: A total of 13 studies including 1192 depressed or anxiety patients with suicidal behavior and 1200 controls were included, with the majority of studies coming from Turkey. Our analysis revealed that depressed or anxiety patients with suicidal behavior had significantly higher NLR (SMD = 0.43, 95% CI: 0.15–0.72, p = 0.003), PLR (SMD = 11.31, 95% CI: 7.48-15.14, p < 0.00001), MLR (SMD = 0.02, 95% CI: 0.01-0.03, p < 0.00001) compared with controls. Risk bias assessment utilizing the NOS scale indicated that all studies showed good quality with minimal bias. Conclusion: Higher NLR, PLR, MLR were significantly associated with an increased risk of depressed or anxiety patients with suicidal behavior. Therefore further research is needed to develop this topic.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.851
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0060.001
Bibliometrics0.0030.010
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.028
GPT teacher head0.320
Teacher spread0.293 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it