The original study under discussion, published earlier in 2026 by Yaşa, Karadağ, Uğur and Atağ, set out to test a deceptively simple question: does the way a patient responds psychologically to a cancer diagnosis predict how anxious or depressed they feel? The idea that coping style shapes emotional outcomes is deeply embedded in health psychology, and lung cancer offers a particularly demanding test case. The disease is often diagnosed at an advanced stage, carries a substantial symptom burden, and is frequently accompanied by stigma linked to smoking, all of which combine to produce some of the highest rates of psychological distress seen in any cancer population. Understanding which patients are most vulnerable, and why, is therefore not an academic exercise but a clinical priority with direct implications for screening and support services.

At the heart of this research tradition sits a measurement instrument with a long and contested history: the Mental Adjustment to Cancer scale, known universally in the field as the MAC scale. Developed by Watson, Greer and colleagues in 1988, the scale was designed to quantify the characteristic ways patients respond to their diagnosis, distinguishing patterns such as fighting spirit, helplessness and hopelessness, anxious preoccupation, fatalism and cognitive avoidance. The premise was elegant: if these response styles could be reliably measured, researchers could ask whether, for example, a fighting spirit predicted better emotional outcomes or even survival. The scale quickly became one of the most widely used tools in psycho-oncology, translated into numerous languages and deployed in hundreds of studies across cancer types.

Yet the MAC scale has also attracted sustained criticism, and any study that uses it inherits that baggage. A psychometric analysis by Nordin, Berglund, Terje and Glimelius in 1999 examined the scale’s internal structure and raised questions about whether its subscales measured coherent, stable dimensions of coping at all. More fundamentally, the very concept of mental adjustment sits uneasily beside modern definitions of coping, which emphasize dynamic processes that shift as circumstances change rather than fixed traits a patient carries into the oncology clinic. A patient who responds with anxious preoccupation in the first week after diagnosis may, by the third month of treatment, have settled into an entirely different pattern. Capturing that fluidity with a single questionnaire administration is a formidable challenge, and it is one that any cross-sectional study of newly diagnosed patients must confront.

The stakes of these measurement questions were raised dramatically by a systematic review published in the BMJ in 2002. Petticrew, Bell and Hunter synthesized the evidence on whether psychological coping influences survival and recurrence in people with cancer, and their conclusions punctured one of the most popular narratives in the field: that a fighting spirit helps patients live longer. The review found little consistent evidence for such an effect, a finding that redirected the field’s attention away from survival claims and toward outcomes that coping styles plausibly do influence, such as mood, quality of life and adjustment to illness. Subsequent longitudinal work, including a 2011 study by Johansson, Rydén and Finizia in patients with laryngeal cancer, continued to document associations between mental adjustment patterns and anxiety, depression and health-related quality of life, reinforcing the idea that coping style is a meaningful correlate of psychological wellbeing even if its causal role in disease progression remains unproven.

Against this backdrop, the measurement of anxiety and depression itself becomes a critical piece of the puzzle. The original study, like most research in this domain, relied on the Hospital Anxiety and Depression Scale, or HADS, a fourteen-item questionnaire developed specifically for medical settings and deliberately constructed to avoid items that could be confounded by physical illness. That design choice matters enormously in oncology, where fatigue, weight loss, breathlessness and sleep disturbance are symptoms of the disease rather than of a mood disorder, and where a generic depression inventory could easily inflate apparent distress. An updated literature review by Bjelland and colleagues in 2002 confirmed that the HADS performs well as a screening instrument across a wide range of patient groups, which is precisely why it remains the workhorse of psycho-oncology research more than two decades later. Still, cut-off scores, factor structure and cross-cultural performance continue to be debated, and results can shift meaningfully depending on how the instrument is scored and interpreted.

Methodological rigor in observational research of this kind also depends on transparency in design and analysis, and this is where the correspondence literature plays its essential role. The original study’s framing within the STROBE guidelines, the international checklist for strengthening the reporting of observational studies in epidemiology, signals an awareness that cross-sectional findings live or die on the clarity of their methods: how patients were recruited, what stage of disease they had, when the questionnaires were administered relative to diagnosis, and which confounding variables were measured and adjusted. Equally important is the statistical handling of predictor variables that travel together. Coping subscales, anxiety scores and depression scores are often moderately to strongly intercorrelated, and analysts must guard against multicollinearity, the statistical condition in which overlapping predictors make it difficult to isolate the independent contribution of each. O’Brien’s widely cited 2007 caution regarding rules of thumb for variance inflation factors remains a standard reference point for researchers navigating this problem, reminding analysts that mechanical thresholds are no substitute for examining the actual correlation structure of their data.

Correspondence articles such as the one by Yeşilbaş and colleagues occupy an underappreciated position in the scientific ecosystem. They are the mechanism by which the community stress-tests published findings in public, raising questions about sampling, statistics, interpretation or measurement that a busy reader might otherwise miss. In a field like psycho-oncology, where instruments are imperfect, effect sizes are typically modest and the temptation to overstate clinical implications is real, this post-publication scrutiny is not pedantry but quality control. The authors of the comment, medical oncologists rather than psychometricians, bring a clinical perspective to the discussion, and their decision to engage formally with the original paper reflects a growing recognition that the psychological dimension of cancer care deserves the same analytical rigor as any biomarker or treatment regimen.

The broader significance of this exchange lies in what it means for patients. Roughly one in four people with cancer experiences clinically significant anxiety or depression, and lung cancer patients are consistently among the most affected, yet psychological distress in oncology remains substantially underdiagnosed and undertreated. If response styles such as helplessness, anxious preoccupation or avoidance can be reliably identified shortly after diagnosis, they could serve as early warning signs, flagging patients who would benefit from prompt psychological support before distress hardens into a full disorder. That promise, however, depends entirely on the integrity of the measurement chain: valid instruments, transparent reporting, appropriate statistical adjustment and honest acknowledgment of what a cross-sectional association can and cannot establish. The comment and the study it addresses are both participants in that ongoing effort to make the psychology of cancer as measurable, and as actionable, as the biology.

What emerges from the exchange is a portrait of a maturing field. The era of grand claims about coping and survival has given way to a more careful science focused on mood, adjustment and quality of life, pursued with validated instruments and explicit methodological standards. Lung cancer, with its heavy psychological burden and its rapidly evolving treatment landscape, will remain a central testing ground for this work. As immunotherapies and targeted agents extend survival for many patients, the psychological experience of living with the disease is becoming an ever more prominent part of oncology’s agenda, and studies of how patients respond to diagnosis, scrutinized and refined through correspondence like this one, will help determine which patients need support most, and when.

Subject of Research: Cancer response styles and their relationship to anxiety and depression in newly diagnosed lung cancer patients

Article Title: Comment on: “The effect of cancer response style on anxiety and depression levels in newly diagnosed lung cancer patients”

Article References: Yeşilbaş, E., Uyar, G. C., & Başkurt, K. (2026). Comment on: “The effect of cancer response style on anxiety and depression levels in newly diagnosed lung cancer patients”. Supportive Care in Cancer, 34(10), Article 1070. https://doi.org/10.1007/s00520-026-11316-3

Image Credits: AI Generated

DOI: 10.1007/s00520-026-11316-3

Keywords: lung cancer, coping styles, Mental Adjustment to Cancer scale, Hospital Anxiety and Depression Scale, psycho-oncology, anxiety, depression, psychometrics, STROBE, multicollinearity, supportive care, health psychology

The research team, led by Betülay Kılıç of the University of Health Sciences’ Gülhane Faculty of Nursing in Ankara, together with colleagues from Gazi University and Başkent University, set out to answer a question that has been surprisingly underexplored. While nurses’ knowledge is widely acknowledged as fundamental to early sepsis recognition and timely management, its relationship with nursing decision-making styles and professional autonomy had not been systematically quantified. The team surveyed 125 of 143 eligible intensive care nurses working at a university hospital, achieving a response rate of 87.4 percent through a total population sampling approach, and reported the work in accordance with the STROBE guidelines for observational studies.

The participants were a relatively young cohort, with a mean age of 30.06 years and a standard deviation of 5.6, suggesting a workforce with substantial career years ahead but potentially limited accumulated clinical experience. Each nurse completed three validated instruments: the Sepsis Knowledge Questionnaire, which probes understanding of sepsis definitions, recognition criteria, and management principles; the Nursing Decision-Making Instrument, which distinguishes between intuitive and analytical decision-making tendencies; and the Attitude Toward Professional Autonomy Scale, which measures how independently nurses view their own clinical role. The data were analyzed using descriptive statistics, non-parametric group comparisons, Spearman’s rank correlation, and multiple linear regression.

The headline number from the study is a mean sepsis knowledge score of 20.24 out of a possible 30, with a standard deviation of 4.21. On its face, that suggests a workforce with a reasonable working grasp of sepsis, but the aggregate figure conceals what the researchers describe as notable knowledge gaps across several recognition and management items. In sepsis care, such gaps are not academic. The condition progresses from infection to systemic inflammation, tissue hypoperfusion, and multi-organ dysfunction along a timeline measured in hours, and international survival campaigns have repeatedly emphasized that every hour of delayed recognition and treatment increases mortality. A nurse who misidentifies early warning signs, or who misunderstands fluid resuscitation targets or the significance of falling mean arterial pressure, may inadvertently contribute to that delay.

One of the most intriguing findings concerns the relationship between knowledge and decision-making style. Sepsis knowledge showed a weak but statistically significant positive correlation with the total score on the Nursing Decision-Making Instrument, with a Spearman’s rank correlation coefficient of 0.239 and a p-value of 0.007. The direction of that instrument matters: higher scores indicate a greater tendency toward intuitive rather than analytical decision-making. In other words, nurses with stronger sepsis knowledge in this sample leaned more heavily on intuition, a pattern the authors’ data link to expertise, since intuitive judgment in clinical settings is generally understood to be built on a foundation of accumulated knowledge and pattern recognition rather than on guesswork.

The study also found a weak positive correlation between sepsis knowledge and work-related independence, one of the dimensions of professional autonomy, with a coefficient of 0.220 and a p-value of 0.013. Critically, both of these associations survived the researchers’ correction for false discovery rate, with adjusted p-values of 0.034 for each. This statistical rigor matters in a field where small correlation coefficients can easily evaporate under multiple-comparison corrections. The persistence of these relationships suggests, cautiously, that knowledge, confident judgment, and a sense of professional independence travel together in the intensive care setting, forming a cluster of attributes that may reinforce one another in daily practice.

The multivariable regression analysis sharpened the picture of what actually drives sepsis knowledge. After adjusting for other factors, previous sepsis training was independently associated with higher knowledge scores, adding 1.799 points on the 30-point scale with a p-value of 0.025. Even more striking was the effect of clinical exposure: nurses who had never cared for patients with sepsis scored 3.473 points lower than those who cared for septic patients frequently, a difference with a p-value of 0.037. The magnitude of that exposure effect, nearly double that of formal training, underscores a point that educators and hospital administrators would do well to internalize. Classroom instruction builds knowledge, but the bedside encounter with a deteriorating septic patient appears to cement it.

These results arrive at a moment when sepsis continues to burden health systems worldwide. The World Health Organization has identified sepsis as a global health priority, and the condition’s dependence on rapid, coordinated frontline response makes nursing staff pivotal to any improvement strategy. In the intensive care unit, nurses continuously monitor vital signs, interpret trends in systolic blood pressure and mean arterial pressure, administer antibiotics and fluids, and escalate concerns to physicians. When their knowledge base is solid, they function as an early warning system; when it is not, the safety net develops holes precisely where patients are most vulnerable.

The authors are careful about the limits of their work, and those limits deserve emphasis. The study was conducted at a single university hospital, which means the findings may not generalize to community hospitals, rural facilities, or different national health systems. The cross-sectional design captures a single moment in time, so it can demonstrate association but not causation: the data cannot tell us whether sepsis training causes higher knowledge, whether more knowledgeable nurses seek out training, or whether unmeasured factors such as motivation drive both. The modest correlation coefficients, while statistically robust, also indicate that knowledge explains only a small share of the variation in decision-making style and autonomy. The researchers explicitly recommend interpreting the findings in light of these design constraints.

Even with those caveats, the practical implications are clear and actionable. The independent associations between structured sepsis education and higher knowledge, and between clinical exposure and higher knowledge, point toward a two-pronged strategy: evidence-based sepsis training programs paired with practice-oriented learning opportunities that guarantee nurses genuine exposure to septic patients, whether through rotations, simulation, or deliberate case-based education. For a condition in which the first hours decide outcomes, investing in the knowledge, judgment, and autonomy of the nurses who watch over critically ill patients around the clock may be among the most cost-effective interventions available. The study, published open access with a permanent DOI, invites hospital leaders and nursing educators alike to look hard at their own units and ask whether their frontline staff are being given both the training and the bedside experience that sepsis care demands.

Subject of Research: Sepsis knowledge, clinical decision-making, and professional autonomy among intensive care nurses

Article Title: Factors associated with sepsis knowledge and its relationship with clinical decision-making and professional autonomy among intensive care nurses: a cross-sectional study

Article References: Kılıç, B., Tosun, M. H., Yardımcı Gürel, T., & Candan Yamak, Z. (2026). Factors associated with sepsis knowledge and its relationship with clinical decision-making and professional autonomy among intensive care nurses: a cross-sectional study. BMC Nursing. https://doi.org/10.1186/s12912-026-05384-3

Image Credits: AI Generated

DOI: 10.1186/s12912-026-05384-3

Keywords: sepsis, intensive care nursing, clinical decision-making, professional autonomy, nursing education, cross-sectional study, critical care, knowledge gaps, Sepsis Knowledge Questionnaire, early recognition, BMC Nursing, STROBE