Evidence map›Paper›PMID 40491168›Full record

SynthesisOrthopaedic surgery2025

The Efficacy of Intravenous Analgesia and Various Nerve Blocks for Pain Management in Elderly Patients With Hip Fractures: A Meta-Analysis.

Yuping Liu, Li Zhou, Xin Wang

Abstract readMeta-AnalysisReview
In one paragraph

Synthesis in Orthopaedic surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  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.

Yuping LiuDepartment of Anesthesiology, West China Second University Hospital, Sichuan University, Sichuan, China.
Li ZhouDepartment of Anesthesiology, West China Second University Hospital, Sichuan University, Sichuan, China.
Xin WangDepartment of Orthopedics Trauma and Microsurgery, Elderly Hip Fracture Diagnosis and Treatment Center, Zhongnan Hospital of Wuhan University, Wuhan, China.ORCID https://orcid.org/0000-0002-7592-7789

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pain management in elderly patients with hip fractures has received more and more attention, which is crucial for promoting recovery and reducing complications. At present, there are various and controversial analgesic methods for this population. This meta-analysis evaluated the analgesic effects and side effects of intravenous analgesia compared to different nerve block techniques, including femoral nerve block, fascia iliaca block or pericapsular nerve group block, in this patient group. The study was conducted following the PRISMA 2020 guidelines. A search was performed in October 2024 across PubMed, Web of Science, Cochrane Library, and Embase. Pain scores at different time points, supplemental analgesic morphine consumption, and adverse reactions were compared between intravenous analgesia and nerve blocks. Data were collected from 12 studies and 1157 elderly patients using intravenous analgesia and nerve block after hip fracture, with no differences in sample size, mean age, or percentage of females between the two groups at baseline. Compared to intravenous analgesia, nerve blocks showed significant advantages in the pain score of 2 h after block (SMD-0.80; 95% CI: -1.23 to -0.38; I

Indexed as

AnalgesiaHip FracturesNerve BlockPain ManagementPostoperative PainAdministration, IntravenousAgedHumansPain Measurementagedanalgesiahip fracturesmeta‐analysisnerve block

Identifiers

PMID40491168
PMCPMC12318691

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.