ArticleCureus2025
Interlaminar Versus Transforaminal Full-Endoscopic Lumbar Discectomy for L4-L5 Disc Herniation: Operative Time, Radiation Exposure, Complications, and Learning Curve.
Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Transforaminal vs interlaminar full -endoscopic lumbar discectomy at the L4/L5 level: a systematic review and meta -analysis.Wideochirurgia i inne techniki maloinwazyjne = Videosurgery and other miniinvasive techniques · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background L4-L5 disc herniation is a common cause of radiculopathy, yet the optimal full-endoscopic lumbar discectomy approaches: interlaminar endoscopic lumbar discectomy (IELD) or transforaminal endoscopic lumbar discectomy (TELD), remain debated due to level-specific anatomical constraints. This study compared operative efficiency, radiation exposure, complications, and clinical outcomes between IELD and TELD at the L4-L5 level. Methods A retrospective analysis of 131 consecutive L4-L5 full-endoscopic discectomies (42 IELD, 89 TELD) performed between 2021 and 2023 was conducted. Operative time, fluoroscopic dose-area product, anesthesia type, complications, and patient-reported outcomes (VAS, ODI) were recorded at baseline, 3 months, and 12 months. Temporal trends and learning-curve patterns were evaluated. Results A marked shift from IELD to TELD occurred over the study period, with TELD accounting for 90% of cases by 2023, and conscious analgesia was used in 94%. Operative time improved for both techniques, plateauing at 47 minutes for IELD and 42 minutes for TELD. Radiation exposure declined substantially for both approaches, decreasing from 160 to 120 µGym² for IELD and from 280 to 180 µGy·m² for TELD; however, TELD remained numerically higher than IELD in the late phase. All complications (five total) occurred early in the study period, with none recorded after 2022. Both approaches produced significant improvements in VAS and ODI scores, with comparable long-term clinical outcomes between groups. Conclusions Both IELD and TELD produced significant and sustained improvements in VAS and ODI, with no differences in long-term clinical outcomes. TELD showed a steeper learning-curve pattern and shorter operative times after proficiency was achieved, and it was increasingly performed under conscious analgesia. Fluoroscopy dose declined substantially over time for both approaches; however, TELD required higher radiation exposure during early adoption and remained numerically higher than IELD in late phases. Approach selection at L4-L5 should therefore prioritize anatomy, surgeon experience, and perioperative goals rather than expectations of superior long-term outcomes.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.