Evidence map›Paper›PMID 33209681›Full record

ArticleTranslational andrology and urology2020

The clinical research of 1,470 nm laser in percutaneous nephrolithotomy.

Yunwu Wang, Xiaolei Tang, Hongye Hu

Abstract read
In one paragraph

Article in Translational andrology and urology, 2020. 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
–field-weighted citation impact
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. Observational
  2. 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

3 authors.

Yunwu WangDepartment of Urology, the Second Affiliated Hospital of Wannan Medical College, Wuhu, China.
Xiaolei TangDepartment of Basic Laboratory, the Second Affiliated Hospital of Wannan Medical College, Wuhu, China.
Hongye HuDepartment of Urology, the Second Affiliated Hospital of Wannan Medical College, Wuhu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPercutaneous nephrolithotomy (PCNL) is the primary method for the treatment of renal calculi. The preservation of the nephrostomy tube after operation brings severe pain to the patients. We use a 1,470 nm semiconductor laser to stop bleeding after the operation, which cannot reserve the nephrostomy tube, fully reflect its safety and effectiveness, and provide a new method for clinical practice.

methodsForty-two patients with renal stones who came to our hospital from March 2016 to September 2019 were randomly divided into two groups: laser operation group (20 patients) and traditional operation group (22 patients). The stone removal rate, surgical effect, and postoperative complications were compared between the two groups.

resultsThere was no significant difference in the stone clearance rate between the two groups at the 4th week after operation (P>0.05). However, the incidence of postoperative infection, incision pain, and massive bleeding in the laser surgery group were lower than those in the traditional surgery group (P<0.05). However, there was no significant difference in urine extravasation and postoperative hematuria between the two groups (P>0.05). The average postoperative hospital stay in the laser surgery group was shorter than that in the traditional surgery group, and the difference was statistically significant (P<0.05). Simultaneously, there was no significant difference in operation time, intraoperative blood loss, and medical expenses between the two groups (P>0.05).

conclusionsThe 1,470 nm laser is safe, effective, and feasible in PCNL operation, especially in hemostasis of the renal puncture channel, and it is worth popularizing.

Indexed as

1,470 nm lasernephrostomy tubepercutaneous nephrolithotomy (PCNL)Renal stones

Identifiers

PMID33209681
PMCPMC7658143

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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.