Evidence map›Paper›PMID 35287250›Full record

ArticleArthritis care & research2023

Blood Neutrophil Count and Neutrophil-to-Lymphocyte Ratio for Prediction of Disease Progression and Mortality in Two Independent Systemic Sclerosis Cohorts.

Nancy Wareing, Vishnu Mohan, Rana Taherian, Elizabeth R Volkmann, Marka A Lyons, Holly Wilhalme, Michael D Roth, Rosa M Estrada-Y-Martin, Brian Skaug, Maureen D Mayes and 2 more

Open access · greenAbstract read
In one paragraph

Article in Arthritis care & research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 7% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

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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

12 authors at 2 institutions in 1 country.

Nancy WareingMcGovern Medical School at University of Texas Health Science Center, Houston.ORCID 0000-0001-5149-3966
Vishnu MohanMcGovern Medical School at University of Texas Health Science Center, Houston.
Rana TaherianMcGovern Medical School at University of Texas Health Science Center, Houston.
Elizabeth R VolkmannUniversity of California, Los Angeles.ORCID 0000-0003-3750-6569
Marka A LyonsMcGovern Medical School at University of Texas Health Science Center, Houston.
Holly WilhalmeUniversity of California, Los Angeles.
Michael D RothUniversity of California, Los Angeles.
Rosa M Estrada-Y-MartinMcGovern Medical School at University of Texas Health Science Center, Houston.
Brian SkaugMcGovern Medical School at University of Texas Health Science Center, Houston.
Maureen D MayesMcGovern Medical School at University of Texas Health Science Center, Houston.ORCID 0000-0001-5070-2535
Donald P TashkinUniversity of California, Los Angeles.
Shervin AssassiMcGovern Medical School at University of Texas Health Science Center, Houston.ORCID 0000-0002-8059-9978
The University of Texas Health Science Center · USUniversity of California, Los Angeles · US

Funding

CFlm25 mediated alternative polyadenylation regulates fibrosis in systemic sclerosisR01AR073284 · NIAMS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI ASSASSI, SHERVIN, MILLS, TINGTING WENG · 2019 to 2023
$1.7M
NIAMS NIH HHS R01 AR073284
6 · The paper itself

Abstract

objectiveTo assess the predictive significance of blood neutrophil count and the ratio between neutrophil and lymphocyte count (neutrophil-to-lymphocyte ratio [NLR]) for disease severity and mortality in systemic sclerosis (SSc).

methodsNeutrophil and lymphocyte counts were prospectively measured in the Genetics versus Environment in Scleroderma Outcome Study (GENISOS) and the Scleroderma Lung Study II (SLS II). Forced vital capacity percent predicted (FVC%) and modified Rodnan skin thickness score (MRSS) were used as surrogate measures for disease severity. Longitudinal analyses were performed using generalized linear mixed models. Cox proportional hazards models evaluated the predictive significance of these cell counts for mortality.

resultsOf the 447 SSc patients in the GENISOS cohort at the time of analysis, 377 (84.3%) had available baseline blood neutrophil and lymphocyte counts. Higher baseline neutrophil count and NLR predicted lower serially obtained FVC% (b = -4.74, P = 0.009 and b = -2.68, P = 0.028, respectively) and higher serially obtained MRSS (b = 4.07, P < 0.001 and b = 2.32, P < 0.001, respectively). Longitudinal neutrophil and NLR measurements also significantly correlated with lower concurrently obtained FVC% measurements and higher concurrently obtained MRSS. Baseline neutrophil count and NLR predicted increased risk of long-term mortality, even after adjustment for baseline demographic and clinical factors (hazard ratio [HR] 1.42, P = 0.02 and HR 1.48, P < 0.001, respectively). The predictive significance of higher baseline neutrophil count and NLR for declining FVC% and increased long-term mortality was confirmed in the SLS II.

conclusionHigher blood neutrophil count and NLR are predictive of more severe disease course and increased mortality, indicating that these easily obtainable laboratory studies might be a reflection of pathologic immune processes in SSc.

Indexed as

NeutrophilsScleroderma, SystemicDisease ProgressionHumansLymphocyte CountLymphocytesSkin

Identifiers

PMID35287250
PMCPMC9470772
OpenAlexW4220860148

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Registered trials

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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.