Evidence map›Paper›PMID 33057706›Full record

SynthesisBioscience reports2020

Prognostic performance of the FACED score and bronchiectasis severity index in bronchiectasis: a systematic review and meta-analysis.

Min He, Min Zhu, Chengdi Wang, Zuohong Wu, Xiaofeng Xiong, Hongxia Wu, Deyun Cheng, Yulin Ji

Abstract readEvaluation StudyMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Bioscience reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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.

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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.

Min HeHealth Management Center, West China Hospital of Sichuan University, Chengdu 610041, China.
Min ZhuDepartment of Respiratory and Critical Care Medicine, West China Hospital of Sichuan University, Chengdu 610041, China.
Chengdi WangDepartment of Respiratory and Critical Care Medicine, West China Hospital of Sichuan University, Chengdu 610041, China.
Zuohong WuDepartment of Respiratory and Critical Care Medicine, West China Hospital of Sichuan University, Chengdu 610041, China.
Xiaofeng XiongDepartment of Respiratory and Critical Care Medicine, West China Hospital of Sichuan University, Chengdu 610041, China.
Hongxia WuDepartment of Respiratory and Critical Care Medicine, West China Hospital of Sichuan University, Chengdu 610041, China.
Deyun ChengDepartment of Respiratory and Critical Care Medicine, West China Hospital of Sichuan University, Chengdu 610041, China.
Yulin JiDepartment of Respiratory and Critical Care Medicine, West China Hospital of Sichuan University, Chengdu 610041, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBronchiectasis is a multidimensional lung disease characterized by bronchial dilation, chronic inflammation, and infection. The FACED (Forced expiratory volume in 1 s (FEV1), Age, Chronic colonization, Extension, and Dyspnea) score and Bronchiectasis Severity Index (BSI) are used to stratify disease risk and guide clinical practice. This meta-analysis aimed to quantify the accuracy of these two systems for predicting bronchiectasis outcomes.

methodsPubMed, Embase, and the Cochrane Database of Systematic Reviews were searched for relevant studies. Quality of included studies was assessed using the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) criteria. Pooled summary estimates, including sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), and diagnostic odds ratio (DOR) were calculated. Summary receiver operating characteristic curves were constructed, and the area under the curve (AUC) was used to evaluate prognostic performance.

resultsWe analyzed 17 unique cohorts (6525 participants) from ten studies. FACED scores with a cut-off value ≥ 5 predicted all-cause mortality better than BSI with a cut-off value ≥ 9, based on pooled sensitivity (0.34 vs 0.7), specificity (0.94 vs 0.66), PLR (4.76 vs 2.05), NLR (0.74 vs 0.48), DOR (6.67 vs 5.01), and AUC (0.87 vs 0.75). Both FACED scores with a cut-off value ≥ 5 (AUC = 0.82) and BSI scores with a cut-off value ≥ 5 or 9 (both AUC = 0.80) help to predict hospitalization.

conclusionsAt a cut-off value ≥ 5, FACED scores can reliably predict all-cause mortality and hospitalization, while BSI scores can reliably predict hospitalization with a cut-off of ≥5 or ≥9. Further studies are essential to validate the prognostic performance of these two scores.

Indexed as

Severity of Illness IndexAge FactorsBacterial InfectionsBronchiectasisDisease ProgressionDyspneaForced Expiratory VolumeHospitalizationHumansInflammationPredictive Value of TestsPrognosisRespiratory Tract InfectionsRisk AssessmentROC CurveAll-cause mortalityBronchiectasisBronchiectasis Severity IndexFACEDHospitalizationSeverity score

Identifiers

PMID33057706
PMCPMC7601347

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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.