Related Experiment Video
Updated: Feb 11, 2026

04:44
Imaging Features of Systemic Sclerosis-Associated Interstitial Lung Disease
Published on: June 16, 2020
20.9K
Systemic sclerosis and malignancy
Gokhan Sargin1, Taskin Senturk1, Songul Cildag1
1Department of Rheumatology, Adnan Menderes University, Aydin, Turkey.
International Journal of Rheumatic Diseases
|April 20, 2018
Summary
Systemic sclerosis (SSc) patients have a higher risk of developing malignancies. Early detection and risk factor management are crucial for improving outcomes in these patients.
Area of Science:
- Rheumatology
- Oncology
- Clinical Medicine
Background:
- Systemic sclerosis (SSc) is associated with increased morbidity and mortality, including pulmonary fibrosis, pulmonary arterial hypertension, renal crisis, infections, and malignancies.
- Risk factors for malignancy in SSc include chemical exposure, smoking, and cytotoxic drug use.
- This study evaluates the characteristics, risk factors, and mortality of malignancies in SSc patients.
Purpose of the Study:
- To characterize malignancies in patients with Systemic Sclerosis (SSc).
- To identify risk factors associated with cancer development in SSc.
- To assess mortality rates in SSc patients diagnosed with cancer.
Main Methods:
- One hundred fifty-three SSc patients (mean age 56.4 years) were enrolled based on 2013 ACR/EULAR criteria.
- Clinical, demographic, laboratory, and radiological data were collected and analyzed.
- Chi-square test was used for qualitative data comparison.
Main Results:
- Seven SSc patients (mean age 51.2 years) were diagnosed with malignancies, including lung, gastrointestinal, myelodysplastic syndrome, and melanoma.
- Five patients (3.4%) died due to infection, cardiopulmonary issues, or renal crisis.
- Diffuse cutaneous SSc subtype and anti-Scl-70 positivity were noted in 6 and 71.4% of cancer patients, respectively, with no significant differences in age, sex, or organ involvement compared to non-cancer patients.
Conclusions:
- Malignancies can arise before, during, or after SSc diagnosis, increasing morbidity and mortality.
- Rational treatment, monitoring, and risk factor reduction are essential for malignancy prevention in SSc.
- Observed clinical features, risk factors, and prevalence align with findings from larger cohorts.
Related Concept Videos
Second Order systems II
412
In an underdamped second-order system, where the damping ratio ζ is between 0 and 1, a unit-step input results in a transfer function that, when transformed using the inverse Laplace method, reveals the output response. The output exhibits a damped sinusoidal oscillation, and the difference between the input and output is termed the error signal. This error signal also demonstrates damped oscillatory behavior. Eventually, as the system reaches a steady state, the error diminishes to zero.
412
First Order Systems
435
First-order systems, such as RC circuits, are foundational in understanding dynamic systems due to their straightforward input-output relationship. Analyzing their responses to different input functions under zero initial conditions reveals significant insights into system behavior.
When a first-order system is subjected to a unit-step input, its response is characterized by its transfer function. By applying the Laplace transform of the unit-step input to the transfer function, expanding the...
When a first-order system is subjected to a unit-step input, its response is characterized by its transfer function. By applying the Laplace transform of the unit-step input to the transfer function, expanding the...
435
Second Order systems I
618
A servo system exemplifies a second-order system, featuring a proportional controller and load elements that ensure the output position aligns with the input position. The relationship between these components is described by a second-order differential equation. Applying the Laplace transform under zero initial conditions yields the transfer function, showing how inputs are converted to outputs in the system.
By reinterpreting the system, one can derive the closed-loop transfer function, which...
By reinterpreting the system, one can derive the closed-loop transfer function, which...
618
Thermodynamic Systems
8.3K
A thermodynamic system is a set of objects whose thermodynamic properties are of interest. The system is considered to be embedded in its surroundings or the environment. The system and its environment can exchange heat and do work on each other through a boundary that separates them. However, the immediate surroundings of the system interact with it directly and therefore have a much stronger influence on its behavior and properties.
Consider an example of tea boiling in a kettle. The...
Consider an example of tea boiling in a kettle. The...
8.3K
Classification of Systems-I
603
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
603
Classification of Systems-II
515
Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
515

