Evidence map›Paper›PMID 33191470›Full record

ArticleWorld journal of surgery2021

Comprehensive Complication Index or Clavien-Dindo Classification: Which is Better for Evaluating the Severity of Postoperative Complications Following Pancreatectomy?

Sung Hyun Kim, Ho Kyoung Hwang, Woo Jung Lee, Chang Moo Kang

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Article in World journal of surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
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

17 citing papers in PubMed.

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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.

Sung Hyun KimDepartment of Hepatobiliary and Pancreatic Surgery, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Korea.
Ho Kyoung HwangDepartment of Hepatobiliary and Pancreatic Surgery, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Korea.
Woo Jung LeeDepartment of Hepatobiliary and Pancreatic Surgery, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Korea.
Chang Moo KangDepartment of Hepatobiliary and Pancreatic Surgery, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Korea. cmkang@yuhs.ac.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundComplications are important indicators of immediate postoperative outcomes. The Clavien-Dindo classification (CDC) is a widely used index for the classification of surgical complications. More recently, the comprehensive complication index (CCI) has also been introduced for classifying postoperative complications. The aim of this study was to compare the relationship of CCI and CDC with clinical or economic parameters.

methodsThe study prospectively enrolled patients from April 2015 to October 2016. Two hundred and twenty-two patients underwent pancreatectomy during the enrolled period. Complications were ranked according to CDC and CCI indices. After analyzing the correlation between CCI and CDC, the correlations of length of stay (LOS) and cost with CCI and CDC were compared. Finally, differences between the correlation coefficients of CDC and CCI parameters were calculated.

resultsComplications occurred in 211 patients (95.0%). The correlation between CDC and CCI was r = 0.938. (p < 0.001) Compared to the CDC, CCI showed significantly stronger correlations with LOS and cost of complications (LOS: CCI vs. CDC, r = 0.725 vs. r = 0.630, p < 0.001; cost: CCI vs. CDC, r = 0.774 vs. r = 0.723, p < 0.001).

conclusionCCI is a more accurate classification index, compared to CDC, for evaluating the risk of postoperative complications.

Indexed as

PancreatectomyPostoperative ComplicationsHumansLength of StaySeverity of Illness Index

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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.