Evidence map›Paper›PMID 37699961›Full record

Observational studyScientific reports2023

Cystic fibrosis-related mortality in the United States from 1999 to 2020: an observational analysis of time trends and disparities.

Harpreet Singh, Chinmay Jani, Dominic C Marshall, Rose Franco, Padmanabh Bhatt, Shreya Podder, Joseph Shalhoub, Jonathan S Kurman, Rahul Nanchal, Ahmet Z Uluer and 1 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
7.2field-weighted citation impact, top 2% 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

20 citing papers in PubMed, 28 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Modulation of host inflammatory pathways byFrontiers in immunology · 2026
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Recent developments inMicrobiology and molecular biology reviews : MMBR · 2025
    Review
  12. Article
  13. Article
  14. Article
  15. Therapeutic Interventions forJournal of clinical medicine · 2024
    Review
  16. Observational
  17. Cystic fibrosis.Nature reviews. Disease primers · 2024
    Review
  18. Article
  19. Article
  20. Article
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

11 authors at 5 institutions in 2 countries.

Harpreet SinghDivision of Pulmonary and Critical Care Medicine, Medical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, WI, 53226, USA. hasingh@mcw.edu.
Chinmay JaniDepartment of Medicine, Mount Auburn Hospital/Beth Israel Lahey Health, Cambridge, MA, USA.
Dominic C MarshallNational Heart and Lung Institute, Imperial College London, London, UK.
Rose FrancoDivision of Pulmonary and Critical Care Medicine, Medical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, WI, 53226, USA.
Padmanabh BhattDepartment of Medicine, Mount Auburn Hospital/Beth Israel Lahey Health, Cambridge, MA, USA.
Shreya PodderDivision of Pulmonary and Critical Care Medicine, Medical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, WI, 53226, USA.
Joseph ShalhoubImperial College Healthcare NHS Trust, London, UK.
Jonathan S KurmanDivision of Pulmonary and Critical Care Medicine, Medical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, WI, 53226, USA.
Rahul NanchalDivision of Pulmonary and Critical Care Medicine, Medical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, WI, 53226, USA.
Ahmet Z UluerDivision of Pulmonary and Critical Care, Brigham and Women's Hospital, Boston, MA, USA.
Justin D SalciccioliDivision of Pulmonary and Critical Care, Brigham and Women's Hospital, Boston, MA, USA.
Medical College of Wisconsin · USHarvard University · USImperial College London · GBMount Auburn Hospital · USHealth Data Research UK · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cystic fibrosis transmembrane conductance regulator modulators have revolutionized cystic fibrosis (CF) care in the past decade. This study explores the CF-related mortality trends in the US from 1999 to 2020. We extracted CF-related mortality data from the CDC WONDER database. CF age-standardized mortality rates (ASMRs) were identified by ICD-10 code E84 and were stratified by demographic and geographical variables. Temporal trends were analyzed using Joinpoint modeling. CF-related ASMRs decreased from 1.9 to 1.04 per million population (p = 0.013), with a greater reduction in recent years. This trend was replicated in both sexes. The median age of death increased from 24 to 37 years. CF mortality rates decreased across sex, white race, non-Hispanic ethnicity, census regions, and urbanization status. Incongruent trends were reported in non-white races and Hispanic ethnicity. A lower median age of death was observed in women, non-white races, and Hispanic ethnicity. SARS-CoV-2 infection was the primary cause of death in 1.7% of CF decedents in 2020. The national CF-related mortality rates declined and the median age of death among CF decedents increased significantly indicating better survival in the recent years. The changes were relatively slow during the earlier period of the study, followed by a greater decline lately. We observed patterns of sex, ethnic, racial, and geographical disparities associated with the worsening of the gap between ethnicities, narrowing of the gap between races and rural vs. urban counties, and closing of the gap between sexes over the study period.

Indexed as

COVID-19Cystic FibrosisAdultEthnicityFemaleHumansMaleSARS-CoV-2United StatesWhiteYoung Adult

Identifiers

PMID37699961
PMCPMC10497589
OpenAlexW4386638327

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.