A commentary on “Evaluating the association between time to skin grafting for truncal burn patients and complications: a comparative cohort study using the national trauma data bank”

Dear Editor,

We read with great interest the recent article titled “Evaluating the association between time to skin grafting for truncal burn patients and complications: a comparative cohort study using the National Trauma Data Bank”^[1] published in the International Journal of Surgery. This study used a large national database to evaluate the effect of transplant timing on related skin problems in patients with torso burns. According to the results, longer hospital stays and more graft-related problems are caused by waiting longer for skin grafting. Nonetheless, the impact of grafting delay on truncal burn patients’ mortality seemed negligible, suggesting that a number of variables may affect mortality. Future research, however, has to improve in a number of areas.

First, because this is a retrospective analysis, the paper cannot account for confounding factors such as individual patient characteristics, surgical procedures, or postoperative care standards. For example, it does not analyze the differences in treatment protocols among different burn centers, which could obscure the true relationship between time delay and complications. Furthermore, the specific time definitions for “early” and “delayed” transplantation are not clearly defined, with only 11 days set as the reference threshold, lacking evidence-based support. Prospective randomized controlled trials (RCTs) can provide more rigorous evidence^[2].

Second, the study did not sufficiently address any nonlinear correlations or threshold effects when analyzing the link between transplant time and hospital stay (LOS) using linear regression. Additionally, the lack of multiple comparison correction may increase the risk of false positives. Although the R² value indicates a weak association between transplant time and LOS (0.2332), the clinical significance was not thoroughly explored. More complex models, such as segmented regression, might be more suitable for analyzing the impact of time thresholds^[3].

Thirdly, the author discovered that problems are linked to transplant delay, but they were unable to prove a direct causative relationship. The delay may be due to the patient’s complex condition, such as a high risk of infection, rather than a direct cause. Moreover, the mortality rate was not affected by the timing of transplantation, and other potential factors, such as multi-organ failure, were not analyzed. The discussion section did not adequately compare previous studies; for example, Puri et al^[3] found no correlation between transplant timing and infection, and the reasons for the discrepancy need further explanation.

In summary, the research offers important new information about how transplantation timing affects patient outcomes. The conclusions from this study would be strengthened by a more comprehensive comparison with earlier research, including an investigation of the causes of the differences. All of this was noted in relation to the TITAN guideline, which calls for transparency in the reporting of artificial intelligence^[4].

Ethical approval

Not applicable.

Consent

None.

Sources of funding

This work was supported by Science and Technology Program of the Joint Fund of Scientific Research for the Public Hospitals of Inner Mongolia Academy of Medical Sciences (2024GLLH0437).

Author contributions

G.T., X.Q., X.C. collaborated on the creation and structure of this letter.

Conflicts of interest disclosure

There are no conflicts of interest.

Guarantor

Xiaoying Chen.

Research registration unique identifying number (UIN)

Not applicable.

Provenance and peer review

No data was used in this Letter to the Editor.