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Every biomarker you import gets its own trend chart in the Labs lens and marker detail views. Charts plot values over time with reference range bands, optional overlays for context, and tools for comparing dates and exploring correlations between markers.

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Marker categories

The core schema contains 196 markers across 19 categories. Specialty lab adapters and custom markers extend that surface when you import them.
  • Biochemistry — liver enzymes, kidney markers, bilirubin fractions, pancreatic enzymes, and related chemistry
  • Hormones — testosterone, estradiol, cortisol, DHEA, progesterone, LH, FSH, and other endocrine markers
  • Glucose & Insulin Metabolism — glucose-control markers including insulin, C-peptide, HbA1c, and fructosamine
  • Electrolytes & Minerals — sodium, potassium, bicarbonate/CO2, osmolality, magnesium, zinc, and selenium
  • Lipid Panel — cholesterol, triglycerides, LDL-C, HDL-C, apolipoproteins, and lipoprotein(a)
  • Hematology (CBC) and WBC Differential — blood-cell counts, indices, reticulocytes, and immune-cell differential
  • Thyroid — TSH, free T3, free T4, reverse T3, thyroid antibodies
  • Vitamins, Iron Metabolism, and Proteins & Inflammation — micronutrients, iron status, proteins, hs-CRP, ESR, and related markers
  • Coagulation, Cardiac Markers, and Tumor Markers — PT/INR/aPTT, troponins, natriuretic peptides, and commonly reported tumor markers
  • Bone Metabolism — formation and resorption markers including P1NP and beta-CTX
  • Body Composition — body fat %, lean mass, visceral fat (from DEXA)
  • Bone Density — BMD, T-scores, Z-scores (from DEXA)
  • Urinalysis — routine urine markers plus albumin/creatinine and protein ratios
  • Calculated Ratios — deterministic ratios, indices, fluid-balance estimates, and age estimates
Category headers show how many markers have data versus how many are available. Markers with no data are hidden from the chart list until you import or enter a value.

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Calculated ratios

getbased has 22 entries in Calculated Ratios, including lipid and metabolic ratios, NLR/PLR/MLR/SII, liver and kidney indices, anion gap, free water deficit, and biological-age components. Calculations are deterministic—not generated by AI—and use component values from the same lab date. When the report itself contains FIB-4, anion gap, or another supported calculation, the reported value is used. A calculated fallback is created only when no direct result exists for that date, so the same marker does not appear twice with different rounding. See Understand lab ranges and calculated markers for the full list, applicability gates, and free-water-deficit and biological-age behavior.

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How charts work

A chart can display the active reference interval or threshold. The label tells you whether it came from the laboratory, a built-in reference, a context-specific range, published guidance, or a target. Results without an applicable range remain unrated instead of receiving a generic status.For open-ended ranges (only a lower or upper bound, such as eGFR >59), a solid threshold line replaces the band.When you accept a report’s range during import, the laboratory interval normally takes priority over the built-in fallback. Phase-aware estradiol, progesterone, LH, and FSH results use the applicable per-draw phase range.

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Chart overlays

The Layers dropdown in the chart area header lets you overlay additional context on top of every chart. Each layer is toggled independently and your choice is saved per profile.
  • Note dots — yellow dots appear at dates where you have written a standalone note. Hover over a dot to read the note text.
  • Supplement bars — colored bars along the bottom of the chart show when supplements or medications were active.
  • Cycle phase pills — a compact M, F, O, or L label appears only above a measured point with reliable phase context. A known cycle day is appended, such as L · D21. Hover to see the phase, cycle day, recorded or predicted source, and dated range.
The Layers dropdown is hidden if you have no notes, supplements, or cycle data.

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Organize a marker in another category

You can place a marker in a different compatible category without moving or rewriting its underlying data:
1

Open the marker

Click its chart card, dashboard widget, table row, or search result to open the marker detail modal.
2

Choose Change category

Open Change category, then select a destination. Categories already present in your profile appear first, and the list follows the same order as the Labs sidebar.
3

Restore the original category when needed

Reopen Change category and select Restore original category to remove the visual override.
The move is visual and applies only to the current profile. Values, dates, history, notes, units, ranges, import source, dashboard pins, and the marker’s internal identity remain attached to the same marker. Existing users do not need to migrate or re-import anything. getbased only offers destinations that can display the marker safely:
  • A time-series marker cannot move into a single-point category, or the reverse.
  • A regular measured marker cannot move into Calculated Ratios.
  • A calculated ratio can move into a compatible regular category, such as Lipids.
  • A destination is hidden if it already contains another marker with the same internal key.
Your marker placements are part of the profile and are preserved by JSON export/import, automatic and folder backups, encrypted profile sharing, and cross-device sync.

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Detail modal

Click any chart card to open the detail modal for that marker. The modal shows:
  • A full history table with values, reference ranges, and status for each date
  • The trend direction and any active alerts
  • AI interpretation (if an AI provider is configured)
  • Notes associated with that marker’s dates
  • The source filename for each value (from PDF import) or a “manual” label for hand-entered values
  • Change category for compatible visual placement, with an option to restore the original category
  • Known collection context, such as Collected 07:35 · fasting

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Compare dates

The Compare view lets you select any two lab dates and see how every marker changed between them. This is useful for measuring the effect of a diet change, a new supplement protocol, a medication, or any other intervention. Open Compare dates from Analysis tools and use the two date pickers to choose your dates. Every marker with a value on either date appears in the comparison table, showing:
  • The value on the first (earlier) date
  • The value on the second (later) date
  • The direction and magnitude of the change
  • Whether each value is within the reference range
Status colors follow the same convention as the rest of the app: green for normal, red for high, blue for low.
For the most useful comparisons, pick a date just before starting an intervention and a date several months later. Year-over-year comparisons help account for seasonal variation in markers like vitamin D.

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Correlations

The Correlations view plots two biomarkers against each other as a scatter chart. Each point represents a single lab date, positioned by the values of both markers on that date. This reveals whether two markers tend to rise and fall together — or move in opposite directions. Select Correlations from Analysis tools, then choose a marker for the horizontal (X) axis and one for the vertical (Y) axis. The chart updates immediately. Values on both axes are shown as a percentage of the reference range — 0% is the lower limit, 100% is the upper limit. This normalizes markers with different units so they land on the same grid. Values outside the reference range appear below 0% or above 100%. getbased also includes curated preset pairs for commonly studied relationships — LDL and triglycerides, glucose and insulin, and others. Select a preset from the dropdown to jump directly to that pair.
You need at least three lab entries to see a meaningful scatter pattern in the correlations view. More dates produce a more informative plot.
The active date range filter applies to correlations — only lab dates within the selected range appear as points. Narrow the range to examine whether a relationship between two markers changed during a specific period.
Correlation in your personal data does not prove causation, and a small number of data points can produce misleading patterns. Use correlations as a starting point for conversations with your healthcare provider, not as a definitive finding.

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Biological age

The visible Biological Age marker combines PhenoAge and Bortz Age when both input sets are complete and falls back to either available estimate. Its chart includes chronological age for comparison and requires date of birth in the profile. An explicitly enabled Low muscle mass / creatinine unreliable Medical History flag suppresses the creatinine-dependent estimates; disabling that flag allows recalculation when the required markers are present.

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Date range filter

Use the date range filter in the header to zoom into a specific period. All charts, trend detection, and the correlations view update immediately when you change the range.