Evidence map›Paper›PMID 42147469›Full record

ArticleHealth science reports2026

The Efficacy and Safety of Dehydrated Alcohol Versus Lauromacrogol for Sclerotherapy of Simple Renal Cysts: A Retrospective Comparison Study.

Changlian Dong, Shaoma Xu

Abstract read
In one paragraph

Article in Health science reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Changlian DongDepartment of Ultrasound Beijing HuaSheng Rehabilitation Hospital Beijing China.ORCID https://orcid.org/0009-0004-8827-9778
Shaoma XuDepartment of Ultrasound Beijing HuaSheng Rehabilitation Hospital Beijing China.ORCID https://orcid.org/0009-0008-0151-1052

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Dehydrated alcohol and lauromacrogol are the predominant sclerosing agents employed in cyst ablation. A clear determination of the therapeutic effects comparison between the two is still lacking. This study evaluates the therapeutic efficacy of dehydrated alcohol versus lauromacrogol sclerotherapy in the management of simple renal cysts (SRCs). Methods: Descriptive statistics for baseline characteristics and outcomes were gathered for each group, covering clinical data such as sex, age, location, position, baseline and post-sclerotherapy volumes, percentage, and level of disappearance, and adverse reaction (AR). The primary analysis used a propensity score model with covariates like age, cyst location, position, and baseline volume. We also utilized the relatively novel statistical methodologies of propensity score (PS)-based inverse probability weighting (IPW) and overlap weight (OW) adjustments to compare outcomes between the dehydrated alcohol and lauromacrogol groups. Results: Patients were stratified according to baseline characteristics, and there was no significant difference between the two groups. After application of IPW and OW, all these baseline differences were well balanced between the two groups (i.e., standardized differences < 10%). Overall, there was no significant difference in cyst disappearance and level of disappearance in post-sclerotherapy follow-up between the two groups with IPW analysis ( Conclusions: Our study found that dehydrated alcohol has a sclerosing effect on simple renal cysts similar to lauromacrogol, based on regression rates. Compared to open surgery, this method reduces tissue damage and speeds up recovery, providing surgeons with better decision-making information.

Indexed as

causal inferenceinverse probability weightoverlap weightspropensity scoresclerotherapysimple renal cysts

Identifiers

PMID42147469
PMCPMC13172279

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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.