Evidence map›Paper›PMID 29977620›Full record

ArticleCase reports in anesthesiology2018

Glucose Management during Insulinoma Resection Using Real-Time Subcutaneous Continuous Glucose Monitoring.

Yuki Sugiyama, Chiaki Kiuchi, Maiko Suzuki, Yuki Maruyama, Ryo Wakabayashi, Yasunari Ohno, Shugo Takahata, Takumi Shibazaki, Mikito Kawamata

Open access · goldAbstract readCase Reports
In one paragraph

Article in Case reports in anesthesiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 32% 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

5 citing papers in PubMed, 13 citations in OpenAlex.

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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

9 authors at 1 institution in 1 country.

Yuki SugiyamaDepartment of Anesthesiology and Resuscitology, Shinshu University School of Medicine, Japan.ORCID 0000-0001-6023-582X
Chiaki KiuchiDepartment of Anesthesiology and Resuscitology, Shinshu University School of Medicine, Japan.
Maiko SuzukiDepartment of Anesthesiology and Resuscitology, Shinshu University School of Medicine, Japan.
Yuki MaruyamaDepartment of Anesthesiology and Resuscitology, Shinshu University School of Medicine, Japan.
Ryo WakabayashiDepartment of Anesthesiology and Resuscitology, Shinshu University School of Medicine, Japan.
Yasunari OhnoDivision of Pediatric Surgery, Department of Surgery, Shinshu University School of Medicine, Japan.
Shugo TakahataDivision of Pediatric Surgery, Department of Surgery, Shinshu University School of Medicine, Japan.
Takumi ShibazakiDepartment of Pediatrics, Shinshu University School of Medicine, Japan.
Mikito KawamataDepartment of Anesthesiology and Resuscitology, Shinshu University School of Medicine, Japan.
Shinshu University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Insulinoma is a rare neuroendocrine tumor that causes hypoglycemia due to unregulated insulin secretion. Blood glucose management during insulinoma resection is therefore challenging. We present a case in which real-time subcutaneous continuous glucose monitoring (SCGM) in combination with intermittent blood glucose measurement was used for glycemic control during surgery for insulinoma resection. The SCGM system showed the trends and peak of interstitial glucose in response to glucose loading and the change of interstitial glucose before and after insulinoma resection. These data were helpful for adjusting the glucose infusion; therefore, we think that an SCGM system as a supportive device for glucose monitoring may be useful for glucose management during surgery.

Identifiers

PMID29977620
PMCPMC6011100
OpenAlexW2805300568

What OpenQuestion holds

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LicenceCC BY
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.