Evidence map›Paper›PMID 36038162›Full record

ArticleBMJ open2022

Diagnostic performance of mycological tests for invasive pulmonary aspergillosis in non-haematological patients: protocol for a systematic review and meta-analysis.

Meilu Liu, Guilan Cheng, Chan Xiong, Wei Xiao, Long-Yi Du, Bing Mao, Yu Li, Ti-Wei Miao, Juan-Juan Fu

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 56% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Review
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

9 authors at 2 institutions in 1 country.

Meilu Liu *Department of Integrated Traditional Chinese and Western Medicine, Sichuan University West China Hospital, Chengdu, Sichuan, China.
Guilan Cheng *Department of Integrated Traditional Chinese and Western Medicine, Sichuan University West China Hospital/ West China School of Nursing, Chengdu, Sichuan, China.
Chan XiongRespiratory Department, No. 3 Affiliated Hospital of Chengdu University of Traditional Chinese Medicine (West District) / Chengdu Pidu District Hospital of Traditional Chinese Medicine, Chengdu, Sichuan, China.ORCID 0000-0002-9372-4467
Wei XiaoDepartment of Integrated Traditional Chinese and Western Medicine; Divison of Pulmonary diseases, State Key Laboratory of Biotherapy, Sichuan University West China Hospital, Chengdu, Sichuan, China.
Long-Yi DuDepartment of Integrated Traditional Chinese and Western Medicine, Sichuan University West China Hospital, Chengdu, Sichuan, China.
Bing MaoDepartment of Integrated Traditional Chinese and Western Medicine, Sichuan University West China Hospital, Chengdu, Sichuan, China.
Yu LiRespiratory Department, No. 3 Affiliated Hospital of Chengdu University of Traditional Chinese Medicine (West District) / Chengdu Pidu District Hospital of Traditional Chinese Medicine, Chengdu, Sichuan, China.ORCID 0000-0001-7610-9027
Ti-Wei MiaoDepartment of Integrated Traditional Chinese and Western Medicine, Sichuan University West China Hospital, Chengdu, Sichuan, China.
Juan-Juan FuDepartment of Integrated Traditional Chinese and Western Medicine, Sichuan University West China Hospital, Chengdu, Sichuan, China fu.juanjuan@scu.edu.cn.ORCID 0000-0002-7957-1409
Sichuan University · CNChengdu University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIncreasing numbers of patients with non-haematological diseases are infected with invasive pulmonary aspergillosis (IPA), with a high mortality reported which is mainly due to delayed diagnosis. The diagnostic capability of mycological tests for IPA including galactomannan test, (1,3)-β-D-glucan test, lateral flow assay, lateral flow device and PCR for the non-haematological patients remains unknown. This protocol aims to conduct a systematic review and meta-analysis of the diagnostic performance of mycological tests to facilitate the early diagnosis and treatments of IPA in non-haematological diseases. METHODS AND ANALYSIS: Database including PubMed, CENTRAL and EMBASE will be searched from 2002 until the publication of results. Cohort or cross-sectional studies that assessing the diagnostic capability of mycological tests for IPA in patients with non-haematological diseases will be included. The true-positive, false-positive, true-negative and false-negative of each test will be extracted and pooled in bivariate random-effects model, by which the sensitivity and specificity will be calculated with 95% CI. The second outcomes will include positive (negative) likelihood ratio, area under the receiver operating characteristic curve and diagnostic OR will also be computed in the bivariate model. When applicable, subgroup analysis will be performed with several prespecified covariates to explore potential sources of heterogeneity. Factors that may impact the diagnostic effects of mycological tests will be examined by sensitivity analysis. The risk of bias will be appraised by the Quality Assessment tool for Diagnostic Accuracy Studies (QUADAS-2). ETHICS AND DISSEMINATION: This protocol is not involved with ethics approval, and the results will be peer-reviewed and disseminated on a recognised journal. PROSPERO REGISTRATION NUMBER: CRD42021241820.

Indexed as

Diagnostic Tests, RoutineInvasive Pulmonary AspergillosisMeta-Analysis as TopicSystematic Reviews as TopicCross-Sectional StudiesHematologyHumansLikelihood FunctionsOdds RatioROC CurveSensitivity and SpecificityDiagnostic microbiologyRespiratory infectionsTHORACIC MEDICINE

Identifiers

PMID36038162
PMCPMC9438090
OpenAlexW4293483915

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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Registered trials

None linked

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.