Evidence map›Paper›PMID 35293571›Full record

SynthesisInteractive cardiovascular and thoracic surgery2022

Surgical Apgar score could predict complications after esophagectomy: a systematic review and meta-analysis.

Chao Zheng, Chao Luo, Kai Xie, Jiang-Shan Li, Hai Zhou, Li-Wen Hu, Gao-Ming Wang, Yi Shen

Open access · hybridAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Interactive cardiovascular and thoracic surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 10% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 5 institutions in 1 country.

Chao ZhengDepartment of Cardiothoracic Surgery, Jinling Hospital, School of Medicine, Southeast University, Nanjing, China.ORCID 0000-0002-5286-6485
Chao LuoDepartment of Cardiothoracic Surgery, Jinling Hospital, Southern Medical University, Guangzhou, China.
Kai XieDepartment of Cardiothoracic Surgery, Jinling Hospital, Jinling School of Clinical Medicine, Nanjing Medical University, Nanjing, China.
Jiang-Shan LiUniversity of Science and Technology Beijing, Beijing, China.
Hai ZhouDepartment of Cardiothoracic Surgery, Nanjing second Hospital, Medical School of Southeast University, Nanjing, China.
Li-Wen HuDepartment of Cardiothoracic Surgery, Jinling Hospital, Medical School of Nanjing University, Nanjing, China.
Gao-Ming WangDepartment of Thoracic Surgery, Xuzhou Clinical School of Xuzhou Medical University, Xuzhou, China.
Yi ShenDepartment of Cardiothoracic Surgery, Jinling Hospital, School of Medicine, Southeast University, Nanjing, China.ORCID 0000-0002-4447-1053
Nanjing General Hospital of Nanjing Military Command · CNSoutheast University · CNSouthern Medical University · CNUniversity of Science and Technology Beijing · CNXuzhou Medical College · CN

Funding

Excellent Talents Fund Project of Xuzhou Medical University XYFY2020017Medical Scientific Research Project of Jiangsu Health Commission ZD2021011National Natural Science Foundation of China 81702444
6 · The paper itself

Abstract

objectivesEsophagectomy is the most effective treatment for oesophageal cancer, although the incidence of postoperative complications remains high. Severe major complications, such as intrathoracic anastomotic leakage, are costly and life-threatening to patients. Therefore, early identification of postoperative complications is essential. The surgical Apgar score (SAS) was introduced by Gawande and colleagues to predict major complications after oesophagectomy. Several studies were carried out with inconsistent results.

methodsPubMed, Embase, Web of Science, ClinicalTrials.gov and the Cochrane Library were searched for studies regarding SAS and oesophagectomy. Forest plots were generated using a random-effects model to investigate the actual predictive value of SAS in identifying major complications after oesophagectomy.

resultsNine retrospective cohort studies were finally identified from selected electronic databases. The meta-analysis demonstrated that SAS could forecast the incidence of postoperative complications (odds ratio = 1.82, 95% confidence interval: 1.43-2.33, P < 0.001). Subgroup analysis validated the predictive value of SAS whether as continuous or discrete variables. In addition, a meta-analysis of 4 studies demonstrated that SAS could predict the incidence of pulmonary complications (odds ratio = 2.32, 95% confidence interval: 1.61-3.36, P < 0.001). Significant heterogeneity but no publication bias was found.

conclusionsLower SAS scores could predict the incidence of major morbidities and pulmonary complications after oesophagectomy. Significant heterogeneity limits the reliability of the results, even if publication bias is not observed. More high-quality prospective research should be conducted to verify the findings. PROSPERO registration ID: CRD42020209004.

Indexed as

Esophageal NeoplasmsEsophagectomyApgar ScoreHumansInfant, NewbornPostoperative ComplicationsProspective StudiesReproducibility of ResultsRetrospective Studiescomplicationesophagectomymeta-analysissurgical Apgar score

Identifiers

PMID35293571
PMCPMC9714643
OpenAlexW4210456332

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.