Evidence map›Paper›PMID 30612210›Full record

ArticleJournal of anesthesia2019

Prophylactic sivelestat for esophagectomy and in-hospital mortality: a propensity score-matched analysis of claims database.

Chikashi Takeda, Masato Takeuchi, Yohei Kawasaki, Hiroshi Yonekura, Isao Nahara, Aki Kuwauchi, Satomi Yoshida, Shiro Tanaka, Koji Kawakami

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In one paragraph

Article in Journal of anesthesia, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Clinical epidemiology and pharmacoepidemiology studies with real-world databases.Proceedings of the Japan Academy. Series B, Physical and biological sciences · 2022
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Chikashi TakedaDepartment of Pharmacoepidemiology, Graduate School of Medicine and Public Health, Kyoto University, Yoshida-Konoe-cho, Sakyo-ku, Kyoto, 606-8501, Japan.
Masato TakeuchiDepartment of Pharmacoepidemiology, Graduate School of Medicine and Public Health, Kyoto University, Yoshida-Konoe-cho, Sakyo-ku, Kyoto, 606-8501, Japan.
Yohei KawasakiDepartment of Pharmacoepidemiology, Graduate School of Medicine and Public Health, Kyoto University, Yoshida-Konoe-cho, Sakyo-ku, Kyoto, 606-8501, Japan.
Hiroshi YonekuraDepartment of Pharmacoepidemiology, Graduate School of Medicine and Public Health, Kyoto University, Yoshida-Konoe-cho, Sakyo-ku, Kyoto, 606-8501, Japan.
Isao NaharaDepartment of Pharmacoepidemiology, Graduate School of Medicine and Public Health, Kyoto University, Yoshida-Konoe-cho, Sakyo-ku, Kyoto, 606-8501, Japan.
Aki KuwauchiDepartment of Pharmacoepidemiology, Graduate School of Medicine and Public Health, Kyoto University, Yoshida-Konoe-cho, Sakyo-ku, Kyoto, 606-8501, Japan.
Satomi YoshidaDepartment of Pharmacoepidemiology, Graduate School of Medicine and Public Health, Kyoto University, Yoshida-Konoe-cho, Sakyo-ku, Kyoto, 606-8501, Japan.
Shiro TanakaDepartment of Pharmacoepidemiology, Graduate School of Medicine and Public Health, Kyoto University, Yoshida-Konoe-cho, Sakyo-ku, Kyoto, 606-8501, Japan.
Koji KawakamiDepartment of Pharmacoepidemiology, Graduate School of Medicine and Public Health, Kyoto University, Yoshida-Konoe-cho, Sakyo-ku, Kyoto, 606-8501, Japan. kawakami.koji.4e@kyoto-u.ac.jp.
Kyoto University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTransthoracic esophagectomy is an invasive surgery, and the excessive surgical stress produces inflammatory cytokines, which provoke acute respiratory distress syndrome (ARDS). Sivelestat sodium hydrate-a selective neutrophil elastase inhibitor-is used to treat or prevent ARDS in patients undergoing esophagectomy, although clear evidence is lacking. We investigated the benefits and risk of prophylactic sivelestat.

methodsThis retrospective study used an administrative claims database in Japan. Adult patients who underwent transthoracic esophagectomy from 2010 to 2016 were identified and divided into a prophylactic sivelestat use group and a non-prophylactic use group that included both non-users and therapeutic users. The primary outcome was all-cause in-hospital mortality, and a secondary outcome included the proportion of ARDS. We used 1:1 propensity score matching. For sensitivity analyses, we conducted a 1:2 propensity score matching analysis and several analyses with various patient inclusion criteria.

resultsOf the 3391 patients with esophagectomy, 621 received prophylactic sivelestat. On unadjusted analysis, the sivelestat group had a higher proportion of in-hospital mortality (5.3% vs. 2.9%) compared with the control group. We created a matched cohort of 615 pairs, whose baseline characteristics were well balanced. On adjusted analysis using propensity score matching, prophylactic sivelestat administration was not associated with decreased in-hospital mortality [adjusted odds ratio (aOR) 1.65; 95% confidence interval (CI) 0.95-2.88], ARDS rate (aOR 1.25; 95% CI 0.49-3.17). The findings were also consistent with other sensitivity analyses.

conclusionBecause mortality and postoperative complications were similar, our findings do not support prophylactic sivelestat administration for patients undergoing esophagectomy.

Indexed as

AgedDatabases, FactualEsophagectomyFemaleGlycineHospitalsHumansJapanMaleMiddle AgedPostoperative ComplicationsPropensity ScoreRespiratory Distress SyndromeRetrospective StudiesSerine Proteinase InhibitorsSulfonamidesGlycineSerine Proteinase InhibitorssivelestatSulfonamidesAdministrative claimsEsophagectomyMortalityPropensity scoreSivelestat

Identifiers

PMID30612210
OpenAlexW2908447292

What OpenQuestion holds

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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.