Evidence map›Paper›PMID 41550469›Full record

ArticlePreventive medicine reports2026

Etiologic spectrum and diagnostic gaps of spinal infections: a cross-sectional study in Qingdao, China.

Hui Wang, Xiaxia Chen, Zhaohui Li, Jinchao Pang, Ting Wang, Jinping Sun

Abstract read
In one paragraph

Article in Preventive medicine reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

6 authors.

Hui WangDepartment of Emergency Medicine, the Affiliated Hospital of Qingdao University, Shandong, China.
Xiaxia ChenDepartment of Spinal Surgery, the Affiliated Hospital of Qingdao University, Shandong, China.
Zhaohui LiDepartment of Spinal Surgery, the Affiliated Hospital of Qingdao University, Shandong, China.
Jinchao PangDepartment of Emergency Medicine, the Affiliated Hospital of Qingdao University, Shandong, China.
Ting WangDepartment of Spinal Surgery, the Affiliated Hospital of Qingdao University, Shandong, China.
Jinping SunDepartment of Emergency Medicine, the Affiliated Hospital of Qingdao University, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Spinal infections drive global morbidity; however, accurate pathogen detection remains poor. We aimed to profile pathogens in local patients with spinal infections and assess pre-referral identification rates for different spinal infections. Methods: This retrospective, cross-sectional study was conducted at a tertiary referral center in Qingdao, China, among adult patients with spinal infections admitted between December 2012 and December 2024. After approval from the relevant ethics committee, data were extracted from 181 culture-positive patients. Demographics, clinical features, history, and diagnostic methods were reviewed; infections were classified; and accurate pathogen identification rates were calculated. Results: Among the 181 participants, pyogenic spondylitis, brucellar spondylitis, tuberculous spondylitis, and fungal spondylitis accounted for 44.20 %, 35.91 %, 15.47 %, and 4.42 %, respectively. After excluding 64 patients initially diagnosed at our hospital, pre-referral accuracies were 12.50 %, 0 %, 9.76 %, and 25.00 % for pyogenic spondylitis, tuberculous spondylitis, brucellar spondylitis, and fungal spondylitis, respectively. The predominant pyogenic organisms identified were Conclusion: Delays exist in pathogen detection in spinal infections, highlighting the urgency need to improve conventional microbiological techniques and raise clinical awareness.

Indexed as

Brucellar spondylitisFungal spondylitisPathogensPyogenic spondylitisSpinal infectionsTuberculous spondylitis

Identifiers

PMID41550469
PMCPMC12808823

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