Evidence map›Paper›PMID 34876194›Full record

Observational studyArthritis research & therapy2021

Sine scleroderma, limited cutaneous, and diffused cutaneous systemic sclerosis survival and predictors of mortality.

Sébastien De Almeida Chaves, Tiphaine Porel, Mickael Mounié, Laurent Alric, Léonardo Astudillo, Antoine Huart, Olivier Lairez, Martin Michaud, Grégoire Prévot, David Ribes and 4 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Arthritis research & therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 2 pooled it
5.6field-weighted citation impact, top 3% 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

28 citing papers in PubMed, 2 syntheses or guidelines pooled it, 50 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Observational
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Review
  20. 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

14 authors at 4 institutions in 1 country.

Sébastien De Almeida ChavesDepartment of Internal Medicine, CHU Toulouse, Toulouse, Midi-Pyrénées, France. dealmeida.se@chu-toulouse.fr.ORCID 0000-0003-2729-3635
Tiphaine PorelDepartment of Internal Medicine, CHU Toulouse, Toulouse, Midi-Pyrénées, France.
Mickael MouniéINSERM UMR1027, 37 Allées Jules Guesdes, Toulouse, Midi-Pyrénées, France.
Laurent AlricDepartment of Internal Medicine, CHU Toulouse, Toulouse, Midi-Pyrénées, France.
Léonardo AstudilloDepartment of Internal Medicine, Saint Exupéry Nephrology Clinic, Toulouse, Midi-Pyrénées, France.
Antoine HuartDepartment of Nephrology, CHU Toulouse, Toulouse, Midi-Pyrénées, France.
Olivier LairezUniversite Toulouse III Paul Sabatier Toulouse, Occitanie, France.
Martin MichaudDepartment of Internal Medicine, Hospital Joseph Ducuing, Toulouse, France.
Grégoire PrévotDepartment of Pneumology, CHU Toulouse, Toulouse, Midi-Pyrénées, France.
David RibesDepartment of Nephrology, CHU Toulouse, Toulouse, Midi-Pyrénées, France.
Laurent SaillerDepartment of Internal Medicine, CHU Toulouse, Toulouse, Midi-Pyrénées, France.
Francis GachesDepartment of Internal Medicine, Hospital Joseph Ducuing, Toulouse, France.
Daniel AdoueDepartment of Internal Medicine, CHU Toulouse, Toulouse, Midi-Pyrénées, France.
Gregory PugnetDepartment of Internal Medicine, CHU Toulouse, Toulouse, Midi-Pyrénées, France.
Université Toulouse III - Paul Sabatier · FRHôpital Joseph-Ducuing · FRCentre Hospitalier Universitaire de Toulouse · FRInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSystemic sclerosis (SSc) is associated with a variability of mortality rates in the literature.

objectiveTo determine the mortality and its predictors in a long-term follow-up of a bi-centric cohort of SSc patients.

methodsA retrospective observational study by systematically analyzing the medical records of patients diagnosed with SSc in Toulouse University Hospital and Ducuing Hospital. Standardized Mortality Ratio (SMR), mortality at 1, 3, 5, 10, and 15 years of disease and causes of death were described. Predictors of mortality using Cox regression were assessed.

resultsThree hundred seventy-five patients were included: 63 with diffuse cutaneous SSc, 279 with limited cutaneous SSc, and 33 with sine scleroderma. The SMR ratio was 1.88 (95% CI 1.46-1.97). The overall survival rates were 97.6% at 1 year, 93.4% at 3 years, 87.1% at 5 years, 77.9% at 10 years, and 61.3% at 15 years. Sixty-nine deaths were recorded. 46.4% were SSc related deaths secondary to interstitial lung disease (ILD) (34.4%), pulmonary hypertension (31.2%), and digestive tract involvement (18.8%). 53.6% were non-related to SSc: cardiovascular disorders (37.8%) and various infections (35.1%) largely distanced those from cancer (13.5%). Four significant independent predictive factors were identified: carbon monoxide diffusing capacity (DLCO) < 70% (HR=3.01; p=0.0053), C-reactive protein (CRP) >5 mg/l (HR=2.13; p=0.0174), cardiac involvement (HR=2.86; p=0.0012), and the fact of being male (HR=3.25; p=0.0004).

conclusionLong-term data confirmed high mortality of SSc. Male sex, DLCO <70%, cardiac involvement, and CRP> 5mg/l were identified as independent predictors of mortality.

Indexed as

Hypertension, PulmonaryLung Diseases, InterstitialScleroderma, DiffuseScleroderma, LimitedScleroderma, SystemicHumansMalePrognosisAutoimmune diseasesMortalityPrognostic factorsSystemic sclerosis

Identifiers

PMID34876194
PMCPMC8650544
OpenAlexW4226161621

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.