Factors determining the mortality in cirrhosis patients with invasive candidiasis: A systematic review and meta-analysis
Bibliographic record
Abstract
The impact of invasive candidiasis (IC) on the outcomes in the non-conventional high-risk cirrhosis population is poorly characterized. Therefore, we reviewed the outcomes and their influencing factors in cirrhosis patients with IC. PubMed, Embase, Ovid, CINHAL, and Web of Science were searched for full-text observational studies describing mortality due to IC in cirrhosis. We did a systematic review and random-effects meta-analysis to pool the point-estimate and comparative-odds of mortality. The estimate's heterogeneity was explored on sub-groups, outliers-test, and meta-regression. We evaluated the asymmetry in estimates on funnel plot and Eggers regression. Quality of studies was assessed on the New-Castle Ottawa scale. Of 3143 articles, 13 studies (611 patients) were included (good/fair quality: 6/7). IC patients were sick with a high model for end-stage liver disease (MELD: 27.0) and long hospital stay (33.2 days). The pooled-mortality was 54.7% (95% CI: 41.3--67.5), I2: 80%, P < 0.01. Intensive care unit (ICU) admission (P < 0.001), site of infection; viz. peritonitis and candidemia (P = 0.014) and high MELD of cases (P = 0.029) were predictors of high mortality. The odds of mortality due to IC was 4.4 times higher than controls and was 8.5 and 3.3 times higher than non-infected, and bacterially-infected controls. Studies in ICU-admitted (OR: 5.0) or acute-on-chronic liver failure (ACLF, OR: 6.3) patients had numerically higher odds of mortality than all-hospitalized cirrhosis patients (OR: 4.0). In conclusion, substantially high mortality is reported in cirrhosis patients with IC. ICU admission, ACLF, high MELD, peritonitis, and candidemia are key factors determining high mortality in cirrhosis patients with IC. LAY SUMMARY: We report a high mortality rate of 55% in patients with liver cirrhosis and invasive candidiasis. Higher odds (4.4 times) of death, especially in patients with ACLF (6.3 times) or ICU admission (5.0 times) were seen. Candida peritonitis and candidemia are associated with high mortality in cirrhosis.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.021 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.017 | 0.038 |
| Bibliometrics | 0.007 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".