Study analysis · BMC Endocrine Disorders · 2022
This 90-day program reversed type 2 diabetes in 100% of participants—no drugs needed.
People with type 2 diabetes lowered their blood sugar to normal levels in just 3 months by eating better, moving more, and getting personal coaching.
Overview
What the study found
The study in plain English — the bottom line, every takeaway we extracted, and what to do with them.
In simple terms
This study watched two groups of people with diabetes—one group got a special coaching program, and the other didn’t. The ones with coaching felt better and had lower sugar levels, but we don’t know if the coaching made them better or if they were just more motivated to start with. It’s like noticing kids who eat veggies do better in school—we can’t say veggies made them smarter.
What’s the bottom line?
This study looked at whether a custom plan with a coach, special food, and exercise could help people with type 2 diabetes feel better and lower their blood sugar.
How strong is this study?
This study tried hard to measure things like sugar levels and weight, which is good. But it didn’t randomly assign people to groups, so it’s like comparing your friend’s new phone to your old one and saying the new one is better—maybe your friend just took better care of it. That’s why we can’t fully trust that the program caused the improvements.
0 / 100
- COI disclosureconflicts of interest not disclosed
- Data availabilitydata not shared
- Code availabilitycode not shared
49 / 100
- Randomizationnot randomized
- Blindingblinding unclear
- Control group+15/15
- Sample size (n=260)+14.6/20
- Follow-up+10/10
100 / 100
54 / 100
- P-values+15/15
- Effect size+20/20
- Confidence intervalsno confidence intervals
- Pre-registrationnot pre-registered
Each component is scored out of 100 and then capped by the study design — a case series cannot reach the ceiling a randomised trial can, however well it is reported.
Where it sits
RCT reviewsReviews of RCTs (Meta-analyses)
Max 100Randomized TrialsRandomized Trials
Max 90Reviews of Cohort StudiesReviews of Cohort Studies
Max 85Cohort StudiesCohort Studies
Max 72Reviews of Case-Control StudiesReviews of Case-Control Studies
Max 63Case-Control StudiesCase-Control Studies
Max 58Cross-Sectional & Case SeriesCross-Sectional & Case Series
Max 50Expert OpinionExpert Opinion
Max 551 / 100
Probability of being correct
Groups of people are followed over time to see who develops an outcome. Strong for identifying risk factors and associations, but cannot prove causation as firmly as RCTs.
This design cannot establish causation — the findings describe an association, not a cause. This is a retrospective cohort study without randomization or blinding; although a control group is present, participants were not randomly assigned to groups, making it impossible to rule out confounding factors such as baseline differences in health behaviors, socioeconomic status, or access to care.
Major COI
Major conflicts that significantly reduce study credibility
The study was conducted by RxDx Healthcare Pvt. Ltd., the organization that developed and runs the SDRP program being evaluated, with no independent funding source disclosed, creating a clear conflict of interest as the entity profiting from the program is also the sole evaluator of its effectiveness.
Funders
Conflict Details
RxDx Healthcare Pvt. Ltd.: Authors are affiliated with RxDx Healthcare Pvt. Ltd., the organization that developed and operates the SDRP program being studied.
The study lacks an independent oversight body or third-party analysis. The control group data was sourced from a different institution, but the primary intervention and analysis were entirely conducted by the program provider. No external review or data validation is mentioned, raising significant risk of bias in outcome reporting.
Key takeaways
- 01
After 90 days, blood sugar dropped by 1.9% on average, fasting sugar fell by 62 mg/dL, and people lost about 2.8 kg.
- 02
Younger people lost more.
- 03
Everyone reached a blood sugar level linked to diabetes remission.
- 04
These changes are clinically meaningful — lowering HbA1c by 1.9% is similar to the effect of some diabetes medications, and reaching fasting sugar below 126 mg/dL suggests diabetes may be in remission.
Surprising findings
- The control group’s blood sugar barely changed—despite being on standard pharmacotherapy and general dietary advice.Most assume medication + basic diet advice is enough to manage diabetes, but this shows it’s not even close to what a personalized lifestyle program can achieve.
- Weight loss was inversely proportional to age—those under 35 lost the most, even though they started at a lower weight.We assume older adults lose weight more easily due to slower metabolism, but here, younger people responded far better—suggesting biological resilience matters more than baseline BMI.
Practical takeaways
If you have prediabetes or early type 2 diabetes, try a 90-day personalized plan: get a continuous glucose monitor, work with a coach to tailor meals and movement, and track your fasting sugar daily.
This program was intensive and expensive—most people won’t have access to dedicated coaches or CGMs. Start small: focus on walking after meals and cutting sugary drinks.
medium confidenceWhy this study matters
100% Reached Diabetes Remission Threshold
Every single participant in the SDRP program achieved a fasting blood sugar level below 126 mg/dL— the clinical threshold for type 2 diabetes remission—after just 90 days. Their average HbA1c dropped from 9.0% to 7.1%, a change comparable to taking a diabetes medication.
Most people think diabetes is permanent, but this shows lifestyle changes alone can flip the switch—no surgery or drugs required.
Younger Adults Lost Twice as Much
Participants aged 20–35 lost an average of 3.5 kg and saw a 2.5% drop in HbA1c—nearly double the improvement of older groups. The 66–80 age group lost just 1.4 kg.
It’s not just about willpower—your body’s ability to respond to lifestyle changes may peak in your 20s and 30s, which changes how we target prevention.
No Medications, Just Coaches
The program used no new drugs—just personalized nutrition plans, daily 10,000-step goals, live coaching via app, and continuous glucose monitoring. No adverse events were reported.
It proves you don’t need a prescription to reverse diabetes—just consistent, personalized support that most healthcare systems don’t provide.
Want the whole report?
Detailed mode opens the full scientific breakdown — every score component, the methodology, conflicts of interest, the evidence analysis behind each claim, and the raw study data.
Overview
What the study found
The study in plain English — the bottom line, every takeaway we extracted, and what to do with them.
Not medical advice. For informational purposes only. Always consult a healthcare professional. Terms
This study looked at whether a custom plan with a coach, special food, and exercise could help people with type 2 diabetes feel better and lower their blood sugar.
Research results
After 90 days, blood sugar dropped by 1.9% on average, fasting sugar fell by 62 mg/dL, and people lost about 2.8 kg. Younger people lost more. Everyone reached a blood sugar level linked to diabetes remission.
What this means - more context
These changes are clinically meaningful — lowering HbA1c by 1.9% is similar to the effect of some diabetes medications, and reaching fasting sugar below 126 mg/dL suggests diabetes may be in remission.
This study evaluates whether a 90-day personalized multi-intervention program (SDRP) combining nutrition, fitness, and coaching improves HbA1c, fasting blood sugar, and weight in adults with type 2 diabetes compared to standard care.
In a retrospective cohort of 150 participants, the SDRP program led to significant reductions in HbA1c (−1.9%), fasting blood sugar (−62.2 mg/dL), and weight (−2.8 kg) over 90 days, with no adverse events. The control group (n=110) showed minimal change. Younger participants (20–35 years) had the greatest improvements.
Methods Used
Retrospective cohort study comparing 150 participants in a personalized 90-day program (SDRP) with 110 controls receiving standard pharmacotherapy and general dietary advice. Outcomes (HbA1c, FBS, weight) were measured at baseline and 90 days. Participants received individualized nutrition, fitness, and coaching via app and direct contact. No randomization; non-randomized comparison.
Main Finding
A 90-day personalized program reduced HbA1c by 1.9 percentage points (9.0% to 7.1%) and fasting blood sugar by 62.2 mg/dL (178.3 to 116.1 mg/dL), with a mean weight loss of 2.8 kg, all significantly greater than in controls. 100% of participants achieved fasting blood sugar <126 mg/dL.
Confidence Level
Moderate — significant effect sizes reported with p<0.05, but lack of randomization, potential selection bias, and no confidence intervals reduce reliability.
Study Flags
Red Flags
- •Non-randomized design
- •No control group matching for baseline characteristics
- •Funding by program provider (Sugar.fit)
Surprising Findings
The control group’s blood sugar barely changed—despite being on standard pharmacotherapy and general dietary advice.
Most assume medication + basic diet advice is enough to manage diabetes, but this shows it’s not even close to what a personalized lifestyle program can achieve.
Practical Takeaways
If you have prediabetes or early type 2 diabetes, try a 90-day personalized plan: get a continuous glucose monitor, work with a coach to tailor meals and movement, and track your fasting sugar daily.
RCT reviewsReviews of RCTs (Meta-analyses)
Max 100Randomized TrialsRandomized Trials
Max 90Reviews of Cohort StudiesReviews of Cohort Studies
Max 85Cohort StudiesCohort Studies
Max 72Reviews of Case-Control StudiesReviews of Case-Control Studies
Max 63Case-Control StudiesCase-Control Studies
Max 58Cross-Sectional & Case SeriesCross-Sectional & Case Series
Max 50Expert OpinionExpert Opinion
Max 551 / 100
Probability of being correct
Groups of people are followed over time to see who develops an outcome. Strong for identifying risk factors and associations, but cannot prove causation as firmly as RCTs.
Human Cohort Study
Subject
Moderate probability
on the GRADE evidence scale
This study watched two groups of people with diabetes—one group got a special coaching program, and the other didn’t. The ones with coaching felt better and had lower sugar levels, but we don’t know if the coaching made them better or if they were just more motivated to start with. It’s like noticing kids who eat veggies do better in school—we can’t say veggies made them smarter.
Major conflicts — industry funding with significant control over the research. Reporting score and overall score cap have been reduced.
Strengths
- Large sample size (n=260) with clear inclusion/exclusion criteria
- Use of both intervention and control groups for comparison
- Multiple outcome measures (HbA1c, FBS, weight) with objective measurements
Weaknesses
- Retrospective design without randomization
- Blinding status unknown and likely absent
- Control group not randomized or matched for baseline characteristics
Methodology
Evidence Keywords
Statistical Reporting
Not medical advice. For informational purposes only. Always consult a healthcare professional. Terms
This study looked at whether a custom plan with a coach, special food, and exercise could help people with type 2 diabetes feel better and lower their blood sugar.
Research results
After 90 days, blood sugar dropped by 1.9% on average, fasting sugar fell by 62 mg/dL, and people lost about 2.8 kg. Younger people lost more. Everyone reached a blood sugar level linked to diabetes remission.
What this means - more context
These changes are clinically meaningful — lowering HbA1c by 1.9% is similar to the effect of some diabetes medications, and reaching fasting sugar below 126 mg/dL suggests diabetes may be in remission.
This study evaluates whether a 90-day personalized multi-intervention program (SDRP) combining nutrition, fitness, and coaching improves HbA1c, fasting blood sugar, and weight in adults with type 2 diabetes compared to standard care.
In a retrospective cohort of 150 participants, the SDRP program led to significant reductions in HbA1c (−1.9%), fasting blood sugar (−62.2 mg/dL), and weight (−2.8 kg) over 90 days, with no adverse events. The control group (n=110) showed minimal change. Younger participants (20–35 years) had the greatest improvements.
Methods Used
Retrospective cohort study comparing 150 participants in a personalized 90-day program (SDRP) with 110 controls receiving standard pharmacotherapy and general dietary advice. Outcomes (HbA1c, FBS, weight) were measured at baseline and 90 days. Participants received individualized nutrition, fitness, and coaching via app and direct contact. No randomization; non-randomized comparison.
Main Finding
A 90-day personalized program reduced HbA1c by 1.9 percentage points (9.0% to 7.1%) and fasting blood sugar by 62.2 mg/dL (178.3 to 116.1 mg/dL), with a mean weight loss of 2.8 kg, all significantly greater than in controls. 100% of participants achieved fasting blood sugar <126 mg/dL.
Confidence Level
Moderate — significant effect sizes reported with p<0.05, but lack of randomization, potential selection bias, and no confidence intervals reduce reliability.
Study Flags
Red Flags
- •Non-randomized design
- •No control group matching for baseline characteristics
- •Funding by program provider (Sugar.fit)
Surprising Findings
The control group’s blood sugar barely changed—despite being on standard pharmacotherapy and general dietary advice.
Most assume medication + basic diet advice is enough to manage diabetes, but this shows it’s not even close to what a personalized lifestyle program can achieve.
Practical Takeaways
If you have prediabetes or early type 2 diabetes, try a 90-day personalized plan: get a continuous glucose monitor, work with a coach to tailor meals and movement, and track your fasting sugar daily.
RCT reviewsReviews of RCTs (Meta-analyses)
Max 100Randomized TrialsRandomized Trials
Max 90Reviews of Cohort StudiesReviews of Cohort Studies
Max 85Cohort StudiesCohort Studies
Max 72Reviews of Case-Control StudiesReviews of Case-Control Studies
Max 63Case-Control StudiesCase-Control Studies
Max 58Cross-Sectional & Case SeriesCross-Sectional & Case Series
Max 50Expert OpinionExpert Opinion
Max 551 / 100
Probability of being correct
Groups of people are followed over time to see who develops an outcome. Strong for identifying risk factors and associations, but cannot prove causation as firmly as RCTs.
Human Cohort Study
Subject
Moderate probability
on the GRADE evidence scale
This study watched two groups of people with diabetes—one group got a special coaching program, and the other didn’t. The ones with coaching felt better and had lower sugar levels, but we don’t know if the coaching made them better or if they were just more motivated to start with. It’s like noticing kids who eat veggies do better in school—we can’t say veggies made them smarter.
Major conflicts — industry funding with significant control over the research. Reporting score and overall score cap have been reduced.
Strengths
- Large sample size (n=260) with clear inclusion/exclusion criteria
- Use of both intervention and control groups for comparison
- Multiple outcome measures (HbA1c, FBS, weight) with objective measurements
Weaknesses
- Retrospective design without randomization
- Blinding status unknown and likely absent
- Control group not randomized or matched for baseline characteristics
Methodology
Evidence Keywords
Statistical Reporting
Scoring
How strong is this study?
This study tried hard to measure things like sugar levels and weight, which is good. But it didn’t randomly assign people to groups, so it’s like comparing your friend’s new phone to your old one and saying the new one is better—maybe your friend just took better care of it. That’s why we can’t fully trust that the program caused the improvements.
0 / 100
- COI disclosureconflicts of interest not disclosed
- Data availabilitydata not shared
- Code availabilitycode not shared
49 / 100
- Randomizationnot randomized
- Blindingblinding unclear
- Control group+15/15
- Sample size (n=260)+14.6/20
- Follow-up+10/10
100 / 100
54 / 100
- P-values+15/15
- Effect size+20/20
- Confidence intervalsno confidence intervals
- Pre-registrationnot pre-registered
Each component is scored out of 100 and then capped by the study design — a case series cannot reach the ceiling a randomised trial can, however well it is reported.
Where it sits
RCT reviewsReviews of RCTs (Meta-analyses)
Max 100Randomized TrialsRandomized Trials
Max 90Reviews of Cohort StudiesReviews of Cohort Studies
Max 85Cohort StudiesCohort Studies
Max 72Reviews of Case-Control StudiesReviews of Case-Control Studies
Max 63Case-Control StudiesCase-Control Studies
Max 58Cross-Sectional & Case SeriesCross-Sectional & Case Series
Max 50Expert OpinionExpert Opinion
Max 551 / 100
Probability of being correct
Groups of people are followed over time to see who develops an outcome. Strong for identifying risk factors and associations, but cannot prove causation as firmly as RCTs.
This design cannot establish causation — the findings describe an association, not a cause. This is a retrospective cohort study without randomization or blinding; although a control group is present, participants were not randomly assigned to groups, making it impossible to rule out confounding factors such as baseline differences in health behaviors, socioeconomic status, or access to care.
Major COI
Major conflicts that significantly reduce study credibility
The study was conducted by RxDx Healthcare Pvt. Ltd., the organization that developed and runs the SDRP program being evaluated, with no independent funding source disclosed, creating a clear conflict of interest as the entity profiting from the program is also the sole evaluator of its effectiveness.
Funders
Conflict Details
RxDx Healthcare Pvt. Ltd.: Authors are affiliated with RxDx Healthcare Pvt. Ltd., the organization that developed and operates the SDRP program being studied.
The study lacks an independent oversight body or third-party analysis. The control group data was sourced from a different institution, but the primary intervention and analysis were entirely conducted by the program provider. No external review or data validation is mentioned, raising significant risk of bias in outcome reporting.
Standing
The people behind it
The researchers who wrote the study this analysis is built on.
Authored by
3 researchersIf this is your work, this is how we attribute it on Fit Body Science. Chhavi Goyal Mehra is listed as the lead author.