Evidence map›Paper›PMID 37805231›Full record

ArticleThe journal of allergy and clinical immunology. In practice2023

Reply to "Correspondence on 'Post-Acute COVID-19 Respiratory Symptoms in Patients With Asthma: An Electronic Health Records Based-Study'".

Liqin Wang, Dinah Foer, Li Zhou

Abstract readLetterComment
PubMed Publisher
In one paragraph

Article in The journal of allergy and clinical immunology. In practice, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Liqin WangDivision of General Internal Medicine and Primary Care, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Mass. Electronic address: lwang@bwh.harvard.edu.
Dinah FoerDivision of General Internal Medicine and Primary Care, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Mass; Division of Allergy and Clinical Immunology, Department of Medicine, Brigham and Women's Hospital, Boston, Mass.
Li ZhouDivision of General Internal Medicine and Primary Care, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Mass.

Funding

Leveraging Longitudinal Data and Informatics Technology to Understand the Role of Bilingualism in Cognitive Resilience, Aging and DementiaR01AG080429 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI Michelle L Dossett, HUA XU · 2023 to 2026
$5.5M
Clinical Informatics to Advance Epidemiology and Pharmacogenetics of Serious Cutaneous Adverse Drug ReactionsR01AI150295 · NIAID · BRIGHAM AND WOMEN'S HOSPITAL · PI ZHOU, LI · 2019 to 2022
$2.8M
Improving Allergy Documentation and Clinical Decision Support in the EHRR01HS025375 · AHRQ · BRIGHAM AND WOMEN'S HOSPITAL · PI ZHOU, LI · 2018 to 2021
$1.6M
Identifying and addressing missingness and bias to enhance discovery from multimodal health dataR01LM014239 · NLM · BRIGHAM AND WOMEN'S HOSPITAL · PI Pengyu Hong, Li Zhou · 2023 to 2026
$1.6M
Effects of GLP-1 Receptor Agonists on Airway Inflammation and Platelet Activation in AsthmaK23HL161332 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI Dinah Foer · 2022 to 2026
$975k
Antecedents and Outcomes of Subjective Cognitive Decline: An Electronic Health Records and Artificial Intelligence ApproachK99AG075190 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI WANG, LIQIN · 2022 to 2023
$217k
AHRQ HHS R01 HS025375NIAID NIH HHS R01 AI150295NIA NIH HHS K99 AG075190NIA NIH HHS R01 AG080429NLM NIH HHS R01 LM014239
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

AsthmaCOVID-19Pulmonary Disease, Chronic ObstructiveElectronic Health RecordsHumansPatients

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.