JOURNAL ARTICLE
RESEARCH SUPPORT, NON-U.S. GOV'T
REVIEW
Add like
Add dislike
Add to saved papers

Performance of screening algorithms in systemic sclerosis-related pulmonary arterial hypertension: a systematic review.

BACKGROUND: Pulmonary arterial hypertension (PAH) is a major cause of mortality in systemic sclerosis (SSc). There is emerging evidence that screening may enable the earlier detection and treatment of SSc-PAH, and thereby improve survival.

AIMS: We undertook a systematic review to evaluate the performance of current screening algorithms in SSc-PAH.

METHODS: We searched the Medline and EMBASE databases to 31 March 2012. We selected studies if they applied a screening algorithm to consecutively enrolled SSc patients not known to have PAH; SSc-PAH had to be confirmed on right heart catheterisation (RHC). The performance of each screening algorithm and the methodological quality of each study was evaluated.

RESULTS: Nine studies met the inclusion criteria with a total intent-to-screen population of 3504 participants. In studies of patients with prevalent disease, the positive predictive value (PPV) of screening for PAH was 20.4-87.0%. In studies of patients with incident disease, the PPV of screening for PAH was 20.0-30.7%. The PPV of algorithms using echocardiography alone, or in combination with other tests, was comparable. No study enabled an accurate determination of negative predictive value, sensitivity or specificity of the screening algorithm as only patients who screened positive underwent confirmatory testing with RHC. The optimal timing and frequency of repeat screening is unknown.

CONCLUSION: The low to moderate PPV of current screening algorithms, coupled with the inability to determine accurately the negative predictive value, sensitivity and specificity, suggests that there is a need to validate further these algorithms before making recommendations regarding screening for SSc-PAH.

Full text links

We have located links that may give you full text access.
Can't access the paper?
Try logging in through your university/institutional subscription. For a smoother one-click institutional access experience, please use our mobile app.

Related Resources

For the best experience, use the Read mobile app

Mobile app image

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app

All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.

By using this service, you agree to our terms of use and privacy policy.

Your Privacy Choices Toggle icon

You can now claim free CME credits for this literature searchClaim now

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app