Evidence map›Paper›PMID 37790741›Full record

ArticleClinical interventions in aging2023

Enhanced Recovery After Surgery (ERAS) Program for Anterior Cervical Discectomy and Fusion (ACDF) in Patients Over 60 Years Old.

Peng Wang, Chao Kong, Ze Teng, Sitao Zhang, Peng Cui, Shuaikang Wang, Guoguang Zhao, Shibao Lu

Open access · goldAbstract read
In one paragraph

Article in Clinical interventions in aging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
3.5field-weighted citation impact, top 7% of its field
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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Comparative effectiveness of posterior cervical foraminotomy versus anterior cervical discectomy with fusion for single-level cervical radiculopathy: a target trial emulation study.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
    Article
  4. Review
  5. Age-based prediction of non-routine discharge after anterior cervical discectomy and fusion using machine learning.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
    Article
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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

8 authors at 4 institutions in 1 country.

Peng Wang *Department of Orthopedics, Xuanwu Hospital of Capital Medical University, Beijing, 100053, People's Republic of China.
Chao Kong *Department of Orthopedics, Xuanwu Hospital of Capital Medical University, Beijing, 100053, People's Republic of China.
Ze TengDepartment of Radiology, Cancer Hospital Chinese Academy of Medical Sciences, Beijing, 100021, People's Republic of China.
Sitao ZhangDepartment of Orthopedics, Xuanwu Hospital of Capital Medical University, Beijing, 100053, People's Republic of China.
Peng CuiDepartment of Orthopedics, Xuanwu Hospital of Capital Medical University, Beijing, 100053, People's Republic of China.
Shuaikang WangDepartment of Orthopedics, Xuanwu Hospital of Capital Medical University, Beijing, 100053, People's Republic of China.
Guoguang ZhaoNational Clinical Research Center for Geriatric Diseases, Beijing, 100053, People's Republic of China.
Shibao LuDepartment of Orthopedics, Xuanwu Hospital of Capital Medical University, Beijing, 100053, People's Republic of China.
National Clinical Research Center for Digestive Diseases · CNBeijing Geriatric Hospital · CNCapital Medical University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Enhanced recovery after surgery (ERAS) is currently widely used in many surgical specialties, but there is still a lack of concern about the cervical ERAS program for old patients (>60 years old). We aimed to determine whether our ERAS program significantly improved satisfaction and outcomes in old patients (>60 years old) with anterior cervical discectomy and fusion (ACDF). Methods: This is a retrospective cohort study. The study enrolled patients if they were over the age of 60 years old underwent ACDF from July 2019 and June 2021 (ERAS group) and from January 2018 and June 2019 (non-ERAS group). Data including demographic, comorbidity, and surgical information were collected. We also evaluated ERAS process compliance, primary outcome, surgical complication, and length of stay (LOS). Results: There were 135 patients in the ERAS group, and 122 patients in the non-ERAS group were included. A comparison of the demographic data revealed that there were no statistically significant intergroup differences observed between the group. Overall, ERAS pathway compliance was 91.9%. There were no significant differences in the fusion levels, operative time, intraoperative blood loss, postoperative VAS score, and complications between the ERAS and non-ERAS groups. In addition, there was no significant difference in readmission and mortality at 30-day follow-up between the two groups. However, we observed a statistically significant decrease in the LOS in the ERAS group (8.68±2.34 of ERAS group versus 10.43±4.05 in non-ERAS group, p=0.013). Conclusion: This report describes the first ERAS protocol used in old patients with ACDF. Our ERAS program is safe and associated with incremental benefits with respect to LOS in old patients with ACDF.

Indexed as

Enhanced Recovery After SurgerySpinal FusionCervical VertebraeDiskectomyHumansPostoperative ComplicationsRetrospective StudiesTreatment Outcomeanterior cervical discectomy and fusionenhanced recovery after surgeryold

Identifiers

PMID37790741
PMCPMC10543997
OpenAlexW4387049147

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Registered trials

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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.