Article in Annals of medicine, 2023. 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
–field-weighted citation impact, top 58% 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, 0 citations in OpenAlex.
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
21 authors at 16 institutions in 1 country.
Wenting LuoDepartment of Clinical Laboratory, State Key Laboratory of Respiratory Disease, National Clinical Research Center of Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, China.ORCID 0000-0001-9356-7126
Yun SunDepartment of Pediatrics, Yinchuan Maternal and Child Health Care Hospital, Yinchuan, China.ORCID 0000-0003-2721-9259
Hong ZhangDepartment of Pediatrics, Gansu Provincial Hospital, Lanzhou, China.ORCID 0000-0002-6067-1477
Huali RenDepartment of Allergy, State Grid Beijing Electric Power Hospital, Capital Medical University Electric Power Teaching Hospital, Beijing, China.ORCID 0000-0002-8447-4793
Xiangping MaDepartment of Pediatrics, First Affiliated Hospital of Xinjiang Medical University, Wulumuqi, China.ORCID 0000-0003-1467-6709
Guoping LiLaboratory of Allergy and Precision Medicine, Chengdu Institute of Respiratory Health, the Third People's Hospital of Chengdu, Chengdu, China.ORCID 0000-0003-3360-6124
Yongmei YuDepartment of Pediatrics, First Affiliated Hospital of Kunming Medical University, Kunming, China.ORCID 0000-0002-7223-8793
Jianxin SunDepartment of Respiratory, The Second People's Hospital of Zhaoqing, Zhaoqing, China.ORCID 0000-0001-7956-5925
Huajie WuDepartment of Pediatrics, Xijing Hospital, the Fourth Military Medical University, Xi'an, China.ORCID 0000-0003-4344-5125
Jing WuDepartment of Allergy and Clinical Immunology, Inner Mongolia Cancer Hospital, Inner Mongolia, China.ORCID 0000-0002-4543-0915
Siqin WangDepartment of Allergy and Clinical Immunology, Henan Provincial People's Hospital, Zhengzhou, China.ORCID 0000-0003-3601-7827
Zhenan LiDepartment of Otolaryngology, Foshan Maternal Child Health Hospital, Foshan, China.ORCID 0000-0002-7785-0789
Yan ZhaoDepartment of Allergy, The First Affiliated Hospital of Harbin Medical University, Harbin, China.ORCID 0000-0002-2700-3514
Liting WuDepartment of Clinical Laboratory, Shenzhen Pingle Orthopedic Hospital (Shenzhen Pingshan Traditional Chinese Medicine Hospital), Shenzhen, China.ORCID 0000-0003-2442-3924
Xianhui ZhengDepartment of Clinical Laboratory, State Key Laboratory of Respiratory Disease, National Clinical Research Center of Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, China.ORCID 0000-0002-0385-7523
Miaoyuan XuKingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, China.
Qingyuan YeKingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, China.
Baoqing SunDepartment of Clinical Laboratory, State Key Laboratory of Respiratory Disease, National Clinical Research Center of Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, China.ORCID 0000-0002-1671-0723
First Affiliated Hospital of Guangzhou Medical University · CNKingmed Diagnostics · CNCapital Medical University · CNDongguan People’s Hospital · CNFoshan Maternity and Child Health Care Hospital · CNGansu Provincial Hospital · CNHarbin Medical University · CNHenan Provincial People's Hospital · CNKunming Medical University · CNShenzhen Pingle Orthopedic Hospital · CNSoochow University · CNThe First People's Hospital of Zhaoqing · CNThird People's Hospital of Chengdu · CNXijing Hospital · CNXinjiang Medical University · CNYinchuan First People's Hospital · CN
Funding
No grant is acknowledged in the PubMed record.
6 · The paper itself
Abstract
purposeFew risk-forecasting models of allergic rhinitis (AR) exist that may aid AR pre-exposure prophylaxis (PrEP) in clinical practice. Therefore, this study aimed to develop and validate an effective clinical model for identifying candidates for AR PrEP using a routine medical questionnaire.
methodsThis study was conducted in 10 Chinese provinces with 13 medical centers (
resultsThis study diagnosed 625 patients with AR who had positive responses to at least one indoor or outdoor allergen and 460 to at least one outdoor pollen allergen. Two nomograms were established to identify two types of AR with various sensitization patterns. Both models had an area under curve of approximately 0.7 in the development and internal validation datasets. Additionally, our findings found good agreement for the calibration curves of both models.
conclusionEarly identification of candidates for AR PrEP using routine medical information may improve the deployment of limited resources and effective health management. Our models showed good performance in predicting AR; therefore, they can serve as potential automatic screening tools to identify AR PrEP candidates.
Indexed as
Pre-Exposure ProphylaxisRhinitis, AllergicAllergensHumansReproducibility of ResultsRisk FactorsAllergensAllergic rhinitisleast absolute shrinkage and selection operator modelnomogrampredictorspre-exposure prophylaxis
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.
Developing and validating clinical models to identify candidates for allergic rhinitis pre-exposure prophylaxis. · full record | OpenQuestion