Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Pain Phenotypes and Hematological Inflammatory Indices as Predictors of Transforaminal Epidural Steroid Injection Outcomes in Older Adults.

Medicina (Kaunas, Lithuania) - 8 Jul 2026

Sabuncu Ulku, Babaoglu Gulcin, Dadali Sukriye, Costu Ali, Sahutoglu Bal Nevcihan, Akcaboy Erkan Yavuz

Abstract excerpt

Background and Objectives: Predicting treatment response following transforaminal epidural steroid injection (TFESI) in older adults with lumbar radicular pain (LRP) remains challenging. Hematological inflammatory indices have been proposed as accessible biomarkers; however, their clinical utility remains uncertain. This study aimed to evaluate the predictive value of preprocedural hematological inflammatory...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Aged
Share to Aged, 80 and over

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Biomarkers

Share to Inflammation

Share to Pain Measurement

Share to ROC Curve

Share to Steroids

Share to Treatment Outcome

Source

Open in PubMed Open full text

Identifiers

PMID: 42512858
DOI: 10.3390/medicina62071316
PMCID: PMC13413921

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Pain Phenotypes and Hematological Inflammatory Indices as Predictors of Transforaminal Epidural Steroid Injection Outcomes in Older Adults.PMID 42512858Read ↗

Harnessing pain heterogeneity and RNA transcriptome to identify blood‐based pain biomarkers: a novel correlational study design and bioinformatics approach in a graded chronic constriction injury modelSemantic proximity Read ↗

Complex regional pain syndrome: evidence for warm and cold subtypes in a large prospective clinical sample.Semantic proximity Read ↗

An Integrative Review of Potential Diagnostic Biomarkers for Complex Regional Pain SyndromeSemantic proximity Read ↗

Neuroinflammatory Biomarkers in Chronic Low Back Pain: Mechanisms, Clinical Evidence, and Translational ChallengesSemantic proximity Read ↗

Identification and validation of aging-related genes in neuropathic pain using bioinformaticsSemantic proximity Read ↗

Neuropathic Pain and Spinal Cord Injury: Management, Phenotypes, and Biomarkers.Semantic proximity Read ↗

Study protocol for an inception cohort investigating possible predictors of systemic steroids effectiveness in treatment of acute sciatic painSemantic proximity Read ↗

Identification of Two Biological Subgroups of Complex Regional Pain Syndrome Type 1 by Transcriptomic Profiling of Skin and BloodSemantic proximity Read ↗

Development and application of predictive clinical biomarkers for low back pain care: recommendations from the ISSLS phenotype/precision spine focus group.Semantic proximity Read ↗

Neuropathic Pain and Spinal Cord Injury: Phenotypes and Pharmacological Management.Semantic proximity Read ↗

Musculoskeletal Pain Phenotypes in Private Orthopedic Clinics in Mexico, Including Mixed Pain: A Multicenter Study.Semantic proximity Read ↗

microRNAs in nociceptive circuits as predictors of future clinical applicationsSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.