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Record W4417166822 · doi:10.1093/jsxmed/qdaf320.340

(345) Is Peri-Operative Penile Length Change Following Penile Prosthesis Surgery a Debunkable Myth or Hard Reality: A Review of Prospective Evidence

2025· article· en· W4417166822 on OpenAlexaboutno aff
Muhammed Mubarak, Joachim Jimie, Adam Spacey, Chintan Patel, Ian Pearce, Vaibhav Modgil

Bibliographic record

VenueThe Journal of Sexual Medicine · 2025
Typearticle
Languageen
FieldMedicine
TopicSexual function and dysfunction studies
Canadian institutionsnot available
Fundersnot available
KeywordsPenile prosthesisErectile dysfunctionPatient satisfactionRehabilitationImplantProspective cohort studyPhalloplastyOrgasm

Abstract

fetched live from OpenAlex

Abstract Introduction Penile prosthesis implantation remains a definitive treatment for erectile dysfunction (ED) unresponsive to medical therapies, with consistently high long-term satisfaction rates. However, concerns about penile length loss following surgery continue to be a major source of patient anxiety. Perceived or actual shortening can affect sexual confidence and satisfaction. As penile length is a key determinant of postoperative outcomes, understanding its changes and modifiable factors is vital for counselling and care. Objective This systematic review consolidates current prospective evidence on peri-operative penile length changes following primary inflatable penile prosthesis (IPP) surgery and explores the role of implant type, measurement methods, and rehabilitation protocols. Methods A systematic review was conducted in accordance with PRISMA guidelines. Seven databases (PubMed, Medline, ClinicalKey, Embase, OVID, Google Scholar, and NHS Wales e-Library) were searched for studies published between January 2000 and June 2024. Eligible studies were prospective, reported pre- and post-operative penile length changes following primary IPP implantation for ED, and were published in English. Due to heterogeneity in measurement techniques, implant types, and rehabilitation protocols, meta-analysis was not feasible. A narrative synthesis was performed. Methodological quality and risk of bias were assessed using the Mixed Methods Appraisal Tool (MMAT) and Newcastle-Ottawa Scale (NOS), respectively. Results Eleven studies (10 prospective, 1 retrospective) involving 547 patients were included. Penile length was typically measured using stretched penile length (SPL) from the pubic symphysis to the meatus, though variations existed in technique and anatomical landmarks. Four studies demonstrated a measurable increase in penile length postoperatively, particularly with the use of length-expanding implants like the AMS LGX and structured cycling regimens. Four studies reported no significant change in length at follow-up, and two studies observed modest decreases at 3 and 12 months. Notably, several studies found that subjective reports of length loss did not align with objective measurements, suggesting a strong psychological component. Postoperative rehabilitation protocols varied widely, ranging from early daily cycling and vacuum device use to more delayed or passive strategies. No standardized protocol emerged as clearly superior, though earlier initiation and consistent cycling were generally associated with more favorable outcomes. Conclusions Contrary to widespread belief, most patients undergoing primary IPP implantation do not experience true penile length loss. The majority of studies report preserved or increased length, with subjective dissatisfaction often unlinked to objective change. Variability in measurement techniques, implant selection, and postoperative management limits definitive conclusions. Standardized approaches to length measurement and rehabilitation, along with focused pre-operative counselling, are essential to improve patient satisfaction and accurately address concerns about penile length. Disclosure No

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.013
metaresearch head score (Gemma)0.048
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.013
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.048
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0060.006
Bibliometrics0.0070.009
Science and technology studies0.0010.001
Scholarly communication0.0040.003
Open science0.0020.002
Research integrity0.0030.001
Insufficient payload (model declined to judge)0.0050.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.194
GPT teacher head0.405
Teacher spread0.211 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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