Hypoalbuminemia and colorectal cancer patients: Any correlation?: A systematic review and meta-analysis
Bibliographic record
Abstract
BACKGROUND: In malnourished patients with colorectal cancer, hypoalbuminemia is common and was proposed to determine the postoperative outcome of colorectal surgery. Mounting articles published but have not been evaluated. We aim to assess the predictive value of preoperative hypoalbuminemia in patients undergoing colorectal surgery. METHODS: We performed a literature search from PubMed, Euro PMC, and Cochrane with the terms serum albumin, hypoalbuminemia, prognosis, outcome, colorectal cancer, and neoplasm. We also hand-searched and included any relevant papers. Hypoalbuminemia is defined as plasma albumin level < 3.5 mg/dL. We restricted the included studies to English language and adults undergoing colectomy, laparotomy, laparoscopy, or abdominoperineal resection. Any types of articles were included, except an abstract-only publication and those that did not report the key exposure or outcome of interest. The key exposures were mortality, hospitalization time, and morbid conditions (thrombosis, surgical site infection, sepsis, and wound events). We pooled the odds ratio from each included literature as effect size. The Newcastle Ottawa scale and GRADE were used to determine the quality of each included study. RESULTS: Hereof 7 observational studies (236,480 individuals) were included. Our meta-analysis found that preoperative hypoalbuminemia can predict the postoperative outcome in colorectal cancer patients. Individuals with hypoalbuminemia were not associated with 30-day mortality (risk ratio [RR] 2.05 [0.72, 5.86], P = .18, I2 = 99%) but were associated with morbidity (RR 2.28 [1.78, 2.93], P < .00001, I2 = 87.5%), surgical complication (RR 1.69 [1.34, 2.13], P < .00001, I2 = 98%), and hospitalization (RR 2.21 [1.93, 2.52], P < .00001, I2 = 0%). According to newcastle ottawa scale, the included studies are of moderate to sound quality. CONCLUSIONS: The current systematic review and meta-analysis showed that preoperative hypoalbuminemia was significantly associated with morbidity, length of stay, and surgical complication but not mortality.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.012 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".