Evidence map›Paper›PMID 42077709›Full record

ReviewCureus2026

The Crucial Function of Biomarkers in the Diagnosis and Management of Systemic Sclerosis-Associated Interstitial Lung Disease.

Tasneem A Alqatta, Reem E Aldhaleai, Adam A Abushaala, Jordyn T Dvorak, Salim Fredericks

Abstract readReview
In one paragraph

Review in Cureus, 2026. 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

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

5 authors.

Tasneem A AlqattaDepartment of Medicine, Royal College of Surgeons in Ireland - Bahrain, Muharraq, BHR.
Reem E AldhaleaiDepartment of Medicine, Royal College of Surgeons in Ireland - Bahrain, Muharraq, BHR.
Adam A AbushaalaDepartment of Medicine, Royal College of Surgeons in Ireland - Bahrain, Muharraq, BHR.
Jordyn T DvorakDepartment of Medicine, Royal College of Surgeons in Ireland - Bahrain, Muharraq, BHR.
Salim FredericksDepartment of Medicine, Royal College of Surgeons in Ireland - Bahrain, Muharraq, BHR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is a critical need for biomarkers for systemic sclerosis-associated interstitial lung disease (SSc-ILD) due to the high mortality rate associated with interstitial lung disease in patients with systemic sclerosis. The pathology of this condition remains poorly understood, highlighting the urgency for advancements in early diagnosis and detection. Biomarkers have the potential to provide a solution to this pressing issue; however, these biomarkers must be of high quality and reliability to aid in the management of SSc-ILD. Treatments are currently initiated following the onset of frank clinical manifestations. These clinical presentations naturally occur only after significant disease progression and tissue damage. Biomarkers may allow for earlier interventions, which may prevent reduced lung function. Biomarkers facilitate diagnostic reasoning processes and prognostic predictions in personalized patient management plans. In current clinical practice, using biomarkers in SSc-ILD is far from well-established. The background and explanation of why there is a near absence of validated biomarkers in this setting are reviewed in this article. The review aims to focus on the candidate markers that are to become routinely offered by pathology services, highlighting the biochemical and pathological rationale for their use.

Indexed as

biomarkersinterstitial lung disease (ild)ssc-ild pathogenesissystemic sclerosis-associated interstitial lung disease (ssc-ild)systemic sclerosis (ssc)

Identifiers

PMID42077709
PMCPMC13131301

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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.