Evidence map›Paper›PMID 31658046›Full record

ArticleCancer biomarkers : section A of Disease markers2020

Preoperative C-reactive protein-to-albumin ratio predicts anastomotic leak in elderly patients after curative colorectal surgery.

Yongming Yu, Zhou Wu, Zhonglei Shen, Yisheng Cao

Abstract read
In one paragraph

Article in Cancer biomarkers : section A of Disease markers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.0field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Yongming Yu
Zhou Wu
Zhonglei Shen
Yisheng Cao

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnastomotic leak (AL), as one of the most devastating complications, is the leading cause of mortality in colorectal cancer (CRC) patients after resection. This study was aimed to investigate potential risk factors for AL in elderly surgical CRC patients.

methodsA total of 1068 elderly subjects who underwent elective curative colorectal surgery from 2012 to 2018 were retrospectively evaluated and enrolled into this study population. The predictive value of C-reactive protein-to-albumin ratio (CAR) for AL in surgical CRC patients was evaluated by receiver operating characteristic (ROC) curve analysis. Potential risk factors for AL were assessed by the univariate and multivariate logistic regression analyses.

resultsOf all the 1068 enrolled patients, 81 patients have developed AL with an incidence of 7.6% (81/1068). Preoperative CAR was an effective predictor for AL with an area under the curve (AUC) of 0.758, 95% CI of 0.700-0.817, a cut-off value of 2.44, a sensitivity of 61.09% and a specificity of 80.25%, respectively (P< 0.001). Duration of operation (OR: 2.05, 95% CI: 1.21-3.44, P= 0.013) and preoperative CAR (OR: 1.94, 95% CI: 1.21-3.11, P= 0.007) were two independent risk factors for AL by the multivariate logistic regression analysis.

conclusionsOur study indicate that preoperative CAR level and duration of operation were two independent predictors for AL among elderly surgical CRC patients.

Indexed as

AgedAge FactorsAnastomotic LeakColorectal NeoplasmsC-Reactive ProteinDigestive System Surgical ProceduresFemaleHumansMalePredictive Value of TestsPreoperative PeriodRetrospective StudiesSerum Albumin, HumanC-Reactive ProteinSerum Albumin, Humananastomotic leakColorectal cancerC-reactive protein-to-albumin ratiorisk factor

Identifiers

PMID31658046
PMCPMC12662295
OpenAlexW2981680525

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.