Evidence map›Paper›PMID 31080662›Full record

ReviewJournal of thoracic disease2019

Early detection of complications: anastomotic leakage.

Seok Whan Moon, Jae Jun Kim, Deog Gon Cho, Jae Kil Park

Open access · diamondAbstract readReview
In one paragraph

Review in Journal of thoracic disease, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
4.9field-weighted citation impact, top 5% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

  1. International Society for Diseases of the Esophagus consensus on the diagnosis and treatment of anastomotic leak after esophagectomy.Diseases of the esophagus : official journal of the International Society for Diseases of the Esophagus · 2026
    Guideline
  2. Performance of a consensus-based algorithm for diagnosing anastomotic leak after minimally invasive esophagectomy for esophageal cancer.Diseases of the esophagus : official journal of the International Society for Diseases of the Esophagus · 2023
    Trial
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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 at 3 institutions in 1 country.

Seok Whan MoonDepartment of Thoracic and Cardiovascular Surgery, Seoul St. Mary's Hospital, The Catholic University of Korea, College of Medicine, Seoul, Republic of Korea.
Jae Jun KimDepartment of Thoracic and Cardiovascular Surgery, Uijeongbu St. Mary's Hospital, The Catholic University of Korea, College of Medicine, Seoul, Republic of Korea.
Deog Gon ChoDepartment of Thoracic and Cardiovascular Surgery, St. Vincent's Hospital, The Catholic University of Korea, College of Medicine, Suwon, Republic of Korea.
Jae Kil ParkDepartment of Thoracic and Cardiovascular Surgery, Seoul St. Mary's Hospital, The Catholic University of Korea, College of Medicine, Seoul, Republic of Korea.
Catholic University of Korea · KRThe Catholic University of Korea St. Vincent's Hospital · KRThe Catholic University of Korea Uijeongbu St. Mary's Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anastomotic leakage (AL) is one of the most critical and detrimental complications in esophageal surgery. Early diagnosis and timely therapeutic action are necessary if patients are to avoid AL-related problems. However, there is no gold standard or consensus for early diagnosis. In this review, we focus on summarizing the definition and types of AL and modalities for early diagnosis of AL after esophagectomy.

Indexed as

anastomosis leakageearly diagnosisEsophageal cancer

Identifiers

PMID31080662
PMCPMC6503265
OpenAlexW2900711951

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.