Evidence map›Paper›PMID 40522552›Full record

ArticleLasers in medical science2025

Evaluation of laser ablation for recurrent pilonidal sinus disease: treatment success, recurrence rates, and patient outcomes.

Ahmet Cihangir Emral, Sinan Efe Yazici

Abstract read
In one paragraph

Article in Lasers in medical science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

2 authors.

Ahmet Cihangir EmralAtilim University, Ankara, Turkey. cihangiremral@hotmail.com.
Sinan Efe YaziciHacettepe University, Ankara, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePilonidal sinus disease (PD) is a chronic, recurrent inflammatory condition primarily affecting the sacrococcygeal region, often resulting in discomfort, abscess formation, and recurrent disease. Various surgical interventions, including laser ablation, have been employed to treat recurrent PD. This study evaluates the efficacy of laser ablation in patients with recurrent PD, focusing on treatment success, recurrence rates, complications, and recovery outcomes.

methodsA retrospective analysis of 37 patients with recurrent pilonidal sinus disease treated with laser ablation between January 2022 and January 2025 was conducted. Preoperative data, postoperative complications, healing time, Visual Analog Scale values, and return to normal activities were collected.

resultsThe results showed that 70.3% of patients achieved complete healing without recurrence, while 21.6% experienced recurrence within a mean follow-up of 9.6 months. Five patients (13.5%) developed superficial infections, which were managed with local dressing. The median time for wound healing was 35 days, and patients returned to normal activities in an median of 1 day. Persistent disease was observed in 8 patients (21.6%), of whom 5 patients (62.5%) achieved full epithelialization after retreatment with laser ablation.

conclusionThe ease of application, avoidance of hospitalization, minimal postoperative care, and rapid return to daily activities make laser treatment a safe and effective therapeutic option for patients with recurrent pilonidal disease, supported by favorable outcomes and low morbidity.

Indexed as

Laser TherapyPilonidal SinusAdolescentAdultFemaleHumansMalePostoperative ComplicationsRecurrenceRetrospective StudiesTreatment OutcomeWound HealingYoung AdultLaser ablationMinimally invasive surgeryPilonidal sinus diseasePostoperative outcomeRecurrent

Identifiers

PMID40522552
PMCPMC12170725

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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.