Evidence map›Paper›PMID 41366910›Full record

ReviewMedicine2025

Postoperative delirium in orthopedic patients - identifying contributing factors and therapeutic strategies: A review.

Lian Huang, PengCheng Li, Jian Li

Abstract readReview
In one paragraph

Review in Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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.

Lian HuangSports Medicine Center, West China Hospital, Sichuan University, Chengdu, China.ORCID 0009-0000-6010-4686
PengCheng LiSports Medicine Center, West China Hospital, Sichuan University, Chengdu, China.
Jian LiSports Medicine Center, West China Hospital, Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Postoperative delirium (POD) is a common and serious neuropsychiatric complication following orthopedic surgeries, particularly in elderly patients. This integrative review aimed to provide a comprehensive synthesis of the current literature on the risk factors, pathophysiological mechanisms, prevention strategies, and management approaches for POD in orthopedic patients. The review identified a multitude of risk factors contributing to the development of POD, encompassing patient-related factors, preoperative factors, intraoperative factors, and postoperative factors The pathophysiology of POD is complex and involves an interplay of neurotransmitter imbalances, neuroinflammation, and oxidative stress. Prevention of POD requires a multimodal approach, incorporating both pharmacological interventions and non-pharmacological strategies. The management of POD necessitates a multidisciplinary approach, combining targeted pharmacotherapy with non-pharmacological interventions to control symptoms and promote recovery. Despite significant advancements in understanding POD, there remain gaps in knowledge that warrant further investigation. In conclusion, this review underscores the importance of implementing evidence-based, multicomponent interventions that integrate pharmacological and non-pharmacological strategies to reduce the incidence and severity of POD in orthopedic patients. Continued research efforts and dissemination of best practices are essential to mitigate the impact of this debilitating complication and improve patient outcomes.

Indexed as

DeliriumOrthopedic ProceduresPostoperative ComplicationsHumansRisk Factorsorthopedic surgerypostoperative deliriumpreventionrisk factorstreatment

Identifiers

PMID41366910
PMCPMC12688950

What OpenQuestion holds

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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 OpenQuestion graph.