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Diagnostic delay for giant cell arteritis - a systematic review and meta-analysis
被引:60
|作者:
Prior, James A.
[1
]
Ranjbar, Hoda
[1
]
Belcher, John
[1
]
Mackie, Sarah L.
[2
,3
]
Helliwell, Toby
[1
]
Liddle, Jennifer
[1
,4
]
Mallen, Christian D.
[1
]
机构:
[1] Keele Univ, Res Inst Primary Care & Hlth Sci, Newcastle Upon Tyne ST5 5BG, Tyne & Wear, England
[2] Univ Leeds, Leeds Inst Rheumat & Musculoskeletal Med, Leeds, W Yorkshire, England
[3] NIHR Leeds Musculoskeletal Biomed Res Unit, Leeds, W Yorkshire, England
[4] Newcastle Univ, Inst Hlth & Soc, Newcastle Upon Tyne, Tyne & Wear, England
来源:
BMC MEDICINE
|
2017年
/
15卷
基金:
英国惠康基金;
关键词:
Diagnostic delay;
Giant cell arteritis;
Meta-analysis;
Systematic review;
TEMPORAL ARTERITIS;
POLYMYALGIA-RHEUMATICA;
CLINICAL SPECTRUM;
VISUAL MANIFESTATIONS;
AORTIC-ANEURYSM;
BIOPSY-PROVEN;
POPULATION;
DISEASE;
ONSET;
RISK;
D O I:
10.1186/s12916-017-0871-z
中图分类号:
R5 [内科学];
学科分类号:
1002 ;
100201 ;
摘要:
Background: Giant cell arteritis (GCA), if untreated, can lead to blindness and stroke. The study's objectives were to (1) determine a new evidence-based benchmark of the extent of diagnostic delay for GCA and (2) examine the role of GCA-specific characteristics on diagnostic delay. Methods: Medical literature databases were searched from inception to November 2015. Articles were included if reporting a time-period of diagnostic delay between onset of GCA symptoms and diagnosis. Two reviewers assessed the quality of the final articles and extracted data from these. Random-effects meta-analysis was used to pool the mean time-period (95% confidence interval (CI)) between GCA symptom onset and diagnosis, and the delay observed for GCA-specific characteristics. Heterogeneity was assessed by I-2 and by 95% prediction interval (PI). Results: Of 4128 articles initially identified, 16 provided data for meta-analysis. Mean diagnostic delay was 9.0 weeks (95% CI, 6.5 to 11.4) between symptom onset and GCA diagnosis (I-2 = 96.0%; P < 0.001; 95% PI, 0 to 19.2 weeks). Patients with a cranial presentation of GCA received a diagnosis after 7.7 (95% CI, 2.7 to 12.8) weeks (I-2 = 98.4%; P < 0.001; 95% PI, 0 to 27.6 weeks) and those with non-cranial GCA after 17.6 (95% CI, 9.7 to 25.5) weeks (I-2 = 96.6%; P < 0.001; 95% PI, 0 to 46.1 weeks). Conclusions: The mean delay from symptom onset to GCA diagnosis was 9 weeks, or longer when cranial symptoms were absent. Our research provides an evidence-based benchmark for diagnostic delay of GCA and supports the need for improved public awareness and fast-track diagnostic pathways.
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