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Current cohort

Type 2 Diabetes Cohort

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Last avg FRS

14.2%

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Run 1Preloaded Type 2 Diabetes Cohort ready for demo exploration.

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metabolic_cohort.csv available

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Type 2 Diabetes Cohort

Prospective observational cohort with correlated cardiometabolic risk markers, labs, and vitals aligned with real-world EHR extracts.

Preloaded cohort

Type 2 Diabetes Cohort is preloaded for exploration in demo mode.

Cohort generation controls are disabled in demo mode.

Next: Run simulation to explore risk dynamics.

Cohort Insight

This cohort represents a high-risk cardiometabolic population characterized by impaired glucose regulation and clustered metabolic dysfunction. Individuals frequently exhibit co-occurring abnormalities including hyperglycemia, hypertension, and lipid imbalance. Risk is driven by compounding interactions across these variables, with metabolic syndrome acting as a key amplifier of cardiovascular risk. As conditions co-occur, the cohort shifts toward higher-risk strata, reflecting progression from subclinical dysfunction to overt disease.

Key variables

Fasting Blood Glucose (FBS)

Hemoglobin A1c (HbA1c)

Systolic Blood Pressure (SBP)

Diastolic Blood Pressure (DBP)

Triglycerides (TG)

High-Density Lipoprotein (HDL)

Body Mass Index (BMI)

Smoking Status (SMOKE)

Metabolic Syndrome Indicator (METS)

Framingham Risk Score (FRS)

Model Behavior

Risk is modeled using multiplicative interactions between variables. When multiple conditions co-occur, their combined effect exceeds additive expectations.
For example, elevated glucose combined with hypertension and dyslipidemia results in exponential increases in cardiovascular risk. The metabolic syndrome indicator captures this compounding effect, triggering nonlinear escalation in outcome probabilities.

Cohort summary

Snapshot statistics for the current table.

Avg age

58.5 y

% male

50.0%

% MetS

94.2%

Avg FBS

123.3 mg/dL

% high CVD risk

0.8%

Participant table

Key clinical and risk fields (abbreviated for review).

Showing 100 of 240 patients

AGE	SEX	FBS	HbA1c	SBP	DBP	TG	HDL	BMI	SMOKE	METS	FRS
44	F	95	5.8	114	70	108	34	24	N	0	5.4
61	M	108	6.3	125	77	127	57	28.5	N	0	11.3
48	F	121	6.8	136	84	146	50	26	N	1	11.7
65	M	134	7.3	147	72	165	43	30.5	N	1	17.6
52	F	147	7.8	158	79	184	36	28	N	1	15.8
69	M	102	6.1	123	86	203	59	25.5	N	1	15.1
56	F	115	6.6	134	74	222	52	30	N	1	13.3
73	M	128	7.1	145	81	119	45	27.5	N	1	19.2
60	F	141	7.6	156	88	138	38	25	N	1	17.4
47	M	96	5.8	121	76	157	61	29.5	N	1	9
64	F	109	6.3	132	83	176	54	27	N	1	14.9
51	M	122	6.8	143	71	195	47	24.5	N	1	13.1
68	F	135	7.3	154	78	214	40	29	N	1	19
55	M	148	7.8	119	85	111	63	26.5	N	1	13.5
72	F	103	6.1	130	73	130	56	24	N	1	16.5
59	M	116	6.6	141	80	149	49	28.5	N	1	14.7
46	F	129	7.1	152	87	168	42	26	N	1	12.8
63	M	142	7.6	117	75	187	35	30.5	N	1	15.1
50	F	97	5.9	128	82	206	58	28	N	1	10.3
67	M	110	6.4	139	70	225	51	25.5	N	1	16.3
54	F	123	6.9	150	77	122	44	30	N	1	14.4
71	M	136	7.4	115	84	141	37	27.5	N	1	16.7
58	F	149	7.9	126	72	160	60	25	N	1	14.9
45	M	104	6.1	137	79	179	53	29.5	N	1	10.1
62	F	117	6.6	148	86	198	46	27	N	1	16.1
49	M	130	7.1	159	74	217	39	24.5	N	1	14.2
66	F	143	7.6	124	81	114	62	29	N	1	16.5
53	M	98	5.9	135	88	133	55	26.5	N	1	11.7
70	F	111	6.4	146	76	152	48	24	N	1	17.7
57	M	124	6.9	157	83	171	41	28.5	N	1	15.8
44	F	137	7.4	122	71	190	34	26	N	1	10.3
61	M	150	7.9	133	78	209	57	30.5	N	1	16.3
48	F	105	6.2	144	85	228	50	28	N	1	11.5
65	M	118	6.7	155	73	125	43	25.5	N	1	17.5
52	F	131	7.2	120	80	144	36	30	N	1	11.9
69	M	144	7.7	131	87	163	59	27.5	N	1	17.9
56	F	99	5.9	142	75	182	52	25	N	1	13.1
73	M	112	6.4	153	82	201	45	29.5	N	1	19.1
60	F	125	6.9	118	70	220	38	27	N	1	13.5
47	M	138	7.4	129	77	117	61	24.5	N	1	11.7
64	F	151	7.9	140	84	136	54	29	N	1	17.6
51	M	106	6.2	151	72	155	47	26.5	N	1	12.9
68	F	119	6.7	116	79	174	40	24	N	1	15.2
55	M	132	7.2	127	86	193	63	28.5	N	1	13.3
72	F	145	7.7	138	74	212	56	26	N	1	19.3
59	M	100	6.0	149	81	109	49	30.5	N	1	14.5
46	F	113	6.5	114	88	128	42	28	N	0	6.8
63	M	126	7.0	125	76	147	35	25.5	N	1	14.9
50	F	139	7.5	136	83	166	58	30	N	1	13.1
67	M	152	8.0	147	71	185	51	27.5	N	1	19
54	F	107	6.3	158	78	204	44	25	N	1	14.3
71	M	120	6.8	123	85	223	37	29.5	N	1	16.6
58	F	133	7.3	134	73	120	60	27	N	1	14.7
45	M	146	7.8	145	80	139	53	24.5	N	1	12.9
62	F	101	6.0	156	87	158	46	29	N	1	15.9
49	M	114	6.5	121	75	177	39	26.5	N	1	10.4
66	F	127	7.0	132	82	196	62	24	N	1	16.3
53	M	140	7.5	143	70	215	55	28.5	N	1	14.5
70	F	95	5.8	154	77	112	48	26	N	1	17.5
57	M	108	6.3	119	84	131	41	30.5	N	0	9.8
44	F	121	6.8	130	72	150	34	28	N	1	10.1
61	M	134	7.3	141	79	169	57	25.5	N	1	16.1
48	F	147	7.8	152	86	188	50	30	N	1	14.2
65	M	102	6.1	117	74	207	43	27.5	N	1	13.6
52	F	115	6.6	128	81	226	36	25	N	1	11.8
69	M	128	7.1	139	88	123	59	29.5	N	1	17.7
56	F	141	7.6	150	76	142	52	27	N	1	15.9
73	M	96	5.8	115	83	161	45	24.5	N	1	15.2
60	F	109	6.3	126	71	180	38	29	N	1	13.4
47	M	122	6.8	137	78	199	61	26.5	N	1	11.5
64	F	135	7.3	148	85	218	54	24	N	1	17.5
51	M	148	7.8	159	73	115	47	28.5	N	1	15.6
68	F	103	6.1	124	80	134	40	26	N	0	12.8
55	M	116	6.6	135	87	153	63	30.5	N	1	13.2
72	F	129	7.1	146	75	172	56	28	N	1	19.1
59	M	142	7.6	157	82	191	49	25.5	N	1	17.3
46	F	97	5.9	122	70	210	42	30	N	1	8.8
63	M	110	6.4	133	77	229	35	27.5	N	1	14.8
50	F	123	6.9	144	84	126	58	25	N	1	12.9
67	M	136	7.4	155	72	145	51	29.5	N	1	18.9
54	F	149	7.9	120	79	164	44	27	N	1	13.3
71	M	104	6.1	131	86	183	37	24.5	N	1	16.4
58	F	117	6.6	142	74	202	60	29	N	1	14.5
45	M	130	7.1	153	81	221	53	26.5	N	1	12.7
62	F	143	7.6	118	88	118	46	24	N	1	15
49	M	98	5.9	129	76	137	39	28.5	N	0	8
66	F	111	6.4	140	83	156	62	26	N	1	16.2
53	M	124	6.9	151	71	175	55	30.5	N	1	14.3
70	F	137	7.4	116	78	194	48	28	N	1	16.6
57	M	150	7.9	127	85	213	41	25.5	N	1	14.7
44	F	105	6.2	138	73	110	34	30	N	1	10
61	M	118	6.7	149	80	129	57	27.5	N	1	15.9
48	F	131	7.2	114	87	148	50	25	N	1	10.4
65	M	144	7.7	125	75	167	43	29.5	N	1	16.4
52	F	99	5.9	136	82	186	36	27	N	1	11.6
69	M	112	6.4	147	70	205	59	24.5	N	1	17.6
56	F	125	6.9	158	77	224	52	29	N	1	15.7
73	M	138	7.4	123	84	121	45	26.5	N	1	18
60	F	151	7.9	134	72	140	38	24	N	1	16.1
47	M	106	6.2	145	79	159	61	28.5	N	1	11.4

Statistical associations

Crude odds ratios (high CVD risk vs not) from the generated table, with literature-style qualitative labels. Values stabilize with larger N.

High SBP (≥130 mmHg): OR ~20–30×
Elevated FBS (≥126 mg/dL): OR ~40–60×
Low HDL: OR ~30–50×
High Triglycerides (≥150 mg/dL): OR ~70–100×
Metabolic Syndrome: OR ~300–600×

Generation log

Step 1
Preloaded Type 2 Diabetes Cohort ready for demo exploration.

Data Foundation

Transform raw clinical data into standardized, simulation-ready infrastructure for Syntherx workflows.

Upload Schema

Drag and drop schema files

Accepted: CSV, JSON

Column Name	Data Type	Sample Value
PT_ID	string	PT-98331
BP_SYS	integer	132
GLU_FAST	float	101.4
HDL_CHOL	float	47.2

Schema Mapping

PT_ID

98% match

BP_SYS

92% match

GLU_FAST

90% match

HDL_CHOL

87% match

Data Quality Insights

Missing fields
Smoking status and antihypertensive medication missing in 12% of records.
Inconsistent units
Glucose appears in mg/dL and mmol/L; normalize to mg/dL before simulation.
Suggested fixes
Apply automatic unit conversion and infer smoking_status from structured notes.

Actions

Data Summary

Total fields24

Mapped fields %100%

Missing variables3

Estimated readiness score87%

Next Steps

Synthetic Data Generation

Trigger generation to preview synthetic records.

Replicorr Validation (Coming Soon)

This hook will connect mapped datasets to downstream validation and control-arm checks.

Simulation dashboard

Adjust drivers, run a forward pass, and watch risk metrics update from the current cohort.

Simulation Output

Scenario

Simulation controls

Scenario presets reshape the cohort before the forward pass; SBP and glycemic shift (FBS) sliders fine-tune on top. Metabolic amplification scales the combined risk. HbA1c follows FBS via the cohort mapping when glycemic shift is non-zero.

SBP level30

Glycemic Shift (FBS)0 mg/dL

Run simulation to generate insights.

Risk distribution trend

Mean Framingham risk % by cohort quintile (risk gradient across simulated bands).

Run simulation to generate insights.

Quintile

Mean risk: —

Relative increase: —

Q1 insight

Low-risk cohort with stable metabolic markers.

CVD risk breakdown

Share of participants by risk category.

Generate a cohort to see breakdown.

Risk composition insight

Run simulation to generate CVD composition insights.

Feature impact

Absolute Pearson correlation with Framingham risk % (SBP, FBS, HDL).

Run simulation to generate insights.

Simulation insights

Qualitative takeaways aligned with the model.

Run simulation to generate insights.