Evidence map›Paper›PMID 38333806›Full record

ArticleHeliyon2024

Development of a clinical prediction score for perioperative complications following metastatic spinal surgery (PERCOM) score.

Ryouhei Takeuchi, Kiyoshi Tarukado, Yoshihiro Matsumoto, Kei-Ichiro Iida, Kazu Kobayakawa, Hirokazu Saiwai, Kenichi Kawaguchi, Yasuharu Nakashima

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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 2 institutions in 1 country.

Ryouhei TakeuchiDepartment of Orthopedic Surgery, Kyushu University Hospital, Fukuoka, Japan.
Kiyoshi TarukadoDepartment of Orthopedic Surgery, Kyushu University Hospital, Fukuoka, Japan.
Yoshihiro MatsumotoDepartment of Orthopedic Surgery, Fukushima Medical University School of Medicine, Fukushima, Japan.
Kei-Ichiro IidaDepartment of Orthopedic Surgery, Kyushu University Hospital, Fukuoka, Japan.
Kazu KobayakawaDepartment of Orthopedic Surgery, Kyushu University Hospital, Fukuoka, Japan.
Hirokazu SaiwaiDepartment of Orthopedic Surgery, Kyushu University Hospital, Fukuoka, Japan.
Kenichi KawaguchiDepartment of Orthopedic Surgery, Kyushu University Hospital, Fukuoka, Japan.
Yasuharu NakashimaDepartment of Orthopedic Surgery, Kyushu University Hospital, Fukuoka, Japan.
Kyushu University Hospital · JPFukushima Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Spinal metastases can impair mobility, worsening the Karnofsky Performance Status (KPS). Surgery for spinal metastases has the potential to improve KPS and extend prognosis, but it is crucial to recognize the elevated risk of perioperative complications. Therefore, the development of a new scoring system to accurately predict perioperative complications in spinal metastatic surgery is essential. Methods: We conducted a retrospective observational study with 86 patients who underwent surgical intervention for spinal metastases. Patients were divided into two groups based on the presence or absence of perioperative complications within 14 days after surgery. Various factors related to perioperative complications were assessed through univariate and multivariate analyses. We established a clinical prognostic scoring system called the Perioperative Complications following Metastatic Spinal Surgery (PERCOM) score and evaluated its precision using receiver operating characteristic (ROC) analysis. Results: Five variables (age, KPS, primary prostate cancer, Albumin, and Hemoglobin) identified in the univariate analysis were assigned binary values of 0 or 1. The PERCOM score was then calculated for each patient by summing the individual points, ranging from 0 to 5. The optimal threshold determined by ROC curve analysis for the PERCOM score was 2 points, with a sensitivity of 86 % and a specificity of 56 %. Conclusions: The composite PERCOM score effectively predicted perioperative complications in spinal metastasis surgery. To further validate its precision, a prospective multicenter study is needed.

Indexed as

Perioperative complicationPrediction scoreSpinal metastasisSpinal surgery

Identifiers

PMID38333806
PMCPMC10850538
OpenAlexW4391255741

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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.