Evidence map›Paper›PMID 35784916›Full record

ArticleFrontiers in surgery2022

Case Report: Anesthesia for Cesarean Section in Parturients With Chronic Renal Failure Requiring Hemodialysis: Case Reports and Literature Review.

Ting Zhang, Xianwei Xiong, Yiling Jiang, Huan Chen, Juying Jin

Open access · goldAbstract readCase Reports
In one paragraph

Article in Frontiers in surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 46% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. Review
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 2 institutions in 1 country.

Ting ZhangDepartment of Anesthesiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Xianwei XiongDepartment of Anesthesiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Yiling JiangDepartment of Anesthesiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Huan ChenDepartment of Anesthesiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Juying JinDepartment of Anesthesiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
First Affiliated Hospital of Chongqing Medical University · CNChongqing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pregnancies are rare in women with chronic renal failure requiring hemodialysis. Although a chance of successful pregnancy and delivery in hemodialysis women has increased over the years, it is still very low, and with high maternal and fetal mortality and morbidity rate compared to normal population. And cesarean section is usually used for delivery. The first case was a 32-year-old Chinese woman with chronic kidney disease stage V undergoing maintenance hemodialysis for six years. The second case was also a 32-year-old patient with a 6-year history of hemodialysis for chronic glomerulonephritis. And due to a history of atrial septal defect and hypertension she received intensive hemodialysis during pregnancy. Both cases were scheduled for cesarean delivery under epidural anesthesia. To help develop reasonable anesthetic methods and management objectives for such patients, we described our anesthetic management and performed a literature search on published cases of cesarean section with chronic renal failure undergoing hemodialysis.

Indexed as

anesthesiacesarean sectionChronic renal failurehemodialysisuremia

Identifiers

PMID35784916
PMCPMC9240396
OpenAlexW4282938431

What OpenQuestion holds

Textmetadata
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.