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One bag, not 24 hours: a simpler way to check dialysis quality

NCT ID NCT07659067

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting This study
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study tests whether a single sample of used dialysis fluid can accurately predict how well the treatment is cleaning the blood. Currently, patients must collect all fluid drained over 24 hours, which is cumbersome and error-prone. Researchers will develop and validate a prediction model using data from 300 adults on peritoneal dialysis across four centers in China. If the model works, it could make routine monitoring much simpler.

What this could mean

Our plain-language read of the trial. This is informational only, not medical advice or a prediction.

What this could lead to
If successful, this could simplify routine monitoring for people on peritoneal dialysis, making it easier and less error-prone to check if their treatment is working.
What could go wrong
This is a prediction model study, not a treatment trial. The model may not be accurate enough to replace the standard method, and results may not apply to all dialysis patients.

This is an AI summary of the original study and may miss details. Read our disclaimer.

Study facts

What this study's own registry entry says, in plain language.

Participants

About 300 people

The number the study aims to enrol. It can still change while the study runs.

Expected to start

Jun 2026

An estimate. Start dates often move.

Expected to finish

Jun 2027

An estimate. End dates often move.

Lead sponsor

Other sponsor

The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Who is studied

The study will be conducted between 2026 and 2027 across four peritoneal dialysis (PD) centers in China. All prevalent patients receiving manual PD will be screened for eligibility.

Ages

14 years and older

Sex

Anyone

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: Patients aged ≥14 years who have been receiving PD for at least one month. Exclusion Criteria: (1) peritonitis or other acute complications (e.g., severe infection or acute heart failure) within 1 month prior to enrollment; (2) spontaneous ascites; (3) inability to complete full collection of all dialysate effluent during the study dialysis day; (4) refusal or inability to provide written informed consent.

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As listed by the trial registrant

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How to take part

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  1. The official record

    The full official record for this study. This one lists no contact details, but it is the first place any would appear.

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  2. A doctor treating you

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