Pre-operative biological optimization is not yet a standard of care in joint replacement. The evidence base is developing. The clinical logic is strong. The goal is to close the gap between what the data in practice shows and what the literature can formally support — and to publish that work before anyone else in North Texas does.
The publications and presentations listed below reflect where that work currently stands. The honest answer is that this list will grow. Dr. Siddiqi intends to be the one building it.
The debate between mechanical, kinematic, and functional alignment in total knee replacement is one of the more productive arguments in the specialty — and one of the more overconfident ones. Surgeons who have committed publicly to a single approach are often arguing for the consistency of their own technique as much as for the evidence. The impulse is understandable. The evidence doesn’t resolve it yet.
Dr. Siddiqi’s approach is anatomy-first and patient-specific. He uses navigation and robotics to execute whatever plan the patient’s anatomy warrants. He does not impose an ideological framework onto a joint that didn’t ask to be part of the debate.
The standard pre-operative workup in joint replacement is designed to establish one thing: that the patient is safe to operate on. That standard is correct. It is also insufficient — and the insufficiency has consequences that show up in recovery data, not in surgical complication rates.
Whether a patient recovers well — not whether they survive the procedure, but whether they regain function at the rate their biology allows — is determined by variables that a standard clearance workup doesn’t capture. Albumin levels. Inflammatory markers. Nutritional status. Muscle reserve. These are not exotic measures. They are upstream predictors of wound healing, infection risk, and functional recovery. They are also modifiable, if the preparation window is used deliberately.
The reason most practices don’t address them isn’t that the data doesn’t support it. It’s that the existing reimbursement and scheduling model doesn’t make time for it. That is a resource constraint that has calcified into a clinical standard — and calling it a standard is the wrong word.
Dr. Siddiqi is building the publication record to formalize what his practice already demonstrates. He is not waiting for the field to catch up before applying the protocol. He is applying the protocol and documenting the results — which is the correct sequencing for a surgeon who intends to publish first, not last.
The way robotic-assisted joint replacement is marketed — to patients, to hospital systems, to referring physicians — typically emphasizes precision. The robot is presented as more accurate than a human hand, and therefore better. That framing is not wrong, but it is incomplete in a way that matters clinically.
The more important argument is consistency. A skilled surgeon can achieve excellent component positioning manually. The question is whether they achieve it consistently — across a high-volume practice, across a full surgical day, across the range of anatomic variability that a broad patient population presents. The data on that question is where the robotic advantage lives, and it is a different argument than precision alone.
Variability in component positioning produces outcomes that don’t show up in the short-term data most practices report. They show up at year four and year seven, in patients who are functioning within the acceptable range but not at the top of it. Narrowing that variance — not as a claim, but as a measurable outcome across a high-volume practice — is the argument Dr. Siddiqi is building toward in the literature.