Evidence map›Paper›PMID 41190003›Full record

ArticleFrontiers in pediatrics2025

Predictors of aspiration, lower respiratory tract infection, and respiratory failure among individuals with Rett Syndrome: analysis of real-world claims data in the United States.

Krithika Rajagopalan, Nazia Rashid, Dilesh Doshi, Daksha Gopal

Abstract read
In one paragraph

Article in Frontiers in pediatrics, 2025. 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
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.

  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

4 authors.

Krithika RajagopalanAnlitiks Inc., Windermere, FL, United States.
Nazia RashidMedical Affairs, Acadia Pharmaceuticals Inc., San Diego, CA, United States.
Dilesh DoshiMedical Affairs, Acadia Pharmaceuticals Inc., San Diego, CA, United States.
Daksha GopalAnlitiks Inc., Windermere, FL, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Rett (RTT) syndrome, a rare, neurodevelopmental disorder affects multiple organ-systems (i.e., gastrointestinal, respiratory), with diverse clinical manifestations. While gastrointestinal manifestations are well-known, respiratory manifestations [i.e., aspiration, lower respiratory tract infection (LRTI), and respiratory failure (RF)] and associated predictors are not well-studied. This real-world data analysis evaluated the predictors of aspiration, LRTI, and RF among RTT individuals in the United States. Methods: A retrospective database analysis using IQVIA's Anonymized Patient Level database from 08/01/2020 to 03/31/2023 was conducted to identify newly diagnosed RTT individuals with ≥1 RTT diagnostic claim (ICD-10-CM: F84.2) between 02/01/2021 and 03/31/2022. Index date was the first RTT diagnostic claim. Eligible sample included individuals with 6-months pre-index and 12-months post-index follow-up, as well as no pre-index cerebrovascular disease or brain trauma diagnosis. Predictors of aspiration, LRTI, and RF were separately evaluated using exploratory backward selection models followed by confirmatory multivariable logistic regressions and reported using odds ratios (OR) with 95% confidence intervals (95% CI). Results: Of the 1,994 with RTT, 7.27% ( Conclusion: Baseline neurological and respiratory disorders were common predictors of aspiration, LRTI, or RF. Additional predictors included gastrointestinal disorders for LRTI and RF; and musculoskeletal disorders for RF only. These real-world findings can help inform evidence based clinical decision-making for management of RTT.

Indexed as

aspirationcoughlower respiratory tract infectionpredictorsrespiratory failurerespiratory outcomesRett Syndrome

Identifiers

PMID41190003
PMCPMC12580911

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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.