Evidence map›Paper›PMID 41302297›Full record

ArticleHealthcare (Basel, Switzerland)2025

Type-D Personality as a Predictor of Postoperative Pain, Recovery, and Clinical Outcomes After Spine Surgery: Implications for Chronic Pain Management.

Christian Riediger, Mark Ferl, Christoph H Lohmann, Maria Schönrogge, Agnieszka Halm-Pozniak

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Christian RiedigerDepartment of Orthopaedics, University Hospital Magdeburg, Otto von Guericke University Magdeburg, 39120 Magdeburg, Germany.ORCID 0000-0002-2336-6684
Mark FerlDepartment of Orthopaedics, University Hospital Magdeburg, Otto von Guericke University Magdeburg, 39120 Magdeburg, Germany.
Christoph H LohmannDepartment of Orthopaedics, University Hospital Magdeburg, Otto von Guericke University Magdeburg, 39120 Magdeburg, Germany.ORCID 0000-0002-2962-2183
Maria SchönroggeDepartment of Orthopaedics, University Hospital Magdeburg, Otto von Guericke University Magdeburg, 39120 Magdeburg, Germany.ORCID 0000-0001-8904-3637
Agnieszka Halm-PozniakDepartment of Orthopaedics, University Hospital Magdeburg, Otto von Guericke University Magdeburg, 39120 Magdeburg, Germany.ORCID 0000-0002-3404-0735

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo investigate the association between Type-D personality and pain-related outcomes in patients undergoing spine surgery, and to discuss implications for the management of chronic pain conditions.

methodsA prospective cohort of 200 patients scheduled for elective spine surgery was assessed for Type-D personality using the DS14 scale. Postoperative outcomes including pain intensity (VAS), functional recovery (ODI), complication rates, and patient satisfaction (PSI) were measured preoperatively and at 3, 6, and 12 months. Multivariate regression analyses adjusted for age, sex, surgical approach, comorbidities, and baseline health status.

resultsType-D personality was identified in 30% of patients. These individuals reported significantly higher postoperative pain, slower functional recovery, higher complication rates, and lower overall satisfaction compared to non-Type-D patients. Compared with non-Type-D patients, Type-D patients reported higher pain and slower functional recovery at 12 months (VAS β = 0.34, 95% CI 0.18-0.52,

conclusionsType-D personality is associated with worse postoperative pain and recovery. Preoperative psychological assessment and tailored interventions may improve outcomes. These findings highlight the importance of integrating psychosocial screening into pain management strategies for both spine surgery and chronic pain populations.

Indexed as

chronic painpain managementpersonalitypostoperative painspine surgery

Identifiers

PMID41302297
PMCPMC12653003

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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.