Evidence map›Paper›PMID 26770605›Full record

ArticleInternational journal of clinical and experimental medicine2015

Anesthetic management of a patient with giant retroperitoneal liposarcoma: case report with literature review.

Dandan Feng, Fangxia Xu, Meng Wang, Xiaoping Gu, Zhengliang Ma

Open access · greenAbstract readCase Reports
In one paragraph

Article in International journal of clinical and experimental medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 19% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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

5 authors at 1 institution in 1 country.

Dandan FengDepartment of Anesthesiology, Affiliated Drum Tower Hospital of Medical School of Nanjing University Nanjing, China.
Fangxia XuDepartment of Anesthesiology, Affiliated Drum Tower Hospital of Medical School of Nanjing University Nanjing, China.
Meng WangDepartment of General Surgery, Affiliated Drum Tower Hospital of Medical School of Nanjing University Nanjing, China.
Xiaoping GuDepartment of Anesthesiology, Affiliated Drum Tower Hospital of Medical School of Nanjing University Nanjing, China.
Zhengliang MaDepartment of Anesthesiology, Affiliated Drum Tower Hospital of Medical School of Nanjing University Nanjing, China.
Nanjing Drum Tower Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients with giant retroperitoneal liposarcomas are considered at great risks of perioperative complications and require meticulous anaesthetic management. There have been few reports about anaesthetic management of giant retroperitoneal liposarcoma. We present the case of a 66-year-old patient who suffered from a giant retroperitoneal liposarcoma (diameter 45 cm and weigh 4.5 kg), needing a resection surgery under general anesthesia. We successfully managed anesthesia procedures in this patient using FloTrac/Vigileo(TM) monitoring system without major perioperative complications. The surgery was completed uneventfully and the patient recovered smoothly. After reviewing the literature, we summarize FloTrac/Vigileo(TM) monitoring system is useful to help anaesthesiologists adjust infusion rate to maintain the stability of circulatory state. Anesthetic monitoring, fluid management and temperature control need to be focused in the anesthetic management.

Indexed as

FloTrac VigileoTM monitoring systemgeneral anesthesiaRetroperitoneal liposarcoma

Identifiers

PMID26770605
PMCPMC4694505
OpenAlexW2416902174

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.