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Should I get a baseline serum calcitonin before starting? Working the predictive value

Asked 11 Jul 2025Modified 8 months agoViewed 8.8k times
27

A private clinic offered me a "pre-treatment endocrine screen" including serum calcitonin, with the reasoning that the boxed warning concerns C cells and calcitonin is the C-cell marker, so a baseline value would let anything subsequent be interpreted. That sounds logical and I am suspicious of it precisely because it sounds logical.

My concerns, which I cannot resolve on my own:

  • Medullary thyroid carcinoma is rare. I have a vague sense that screening for rare things with imperfect tests produces mostly false positives, but I do not know how to put numbers on it.
  • If I get a mildly raised result, what happens next? I suspect the answer involves imaging, repeat testing and possibly a biopsy, none of which I want on the basis of a number I did not need.
  • The label itself apparently says something non-committal about monitoring calcitonin. If the manufacturer is not recommending it, why would a clinic?

I have no family history of thyroid cancer or endocrine tumours. Is there any version of this where the test is worth having?

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askedcoldpack_8837k3811 Jul 2025
5Do the positive predictive value arithmetic and the answer falls out immediately. – Dr_Ilse_Vandenberg 8 months ago
4The list of benign things that raise calcitonin is longer than most people expect. – amara_nwachukwu 6 months ago
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3 Answers

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79

Accepted answer

No, not with that history. The arithmetic is decisive: at the prevalence of occult medullary thyroid carcinoma in an unselected population, the great majority of raised calcitonin results are false positives, and the cascade they trigger has real costs against essentially no expected benefit. The label's non-committal wording reflects exactly this.

The predictive value arithmetic

Set up the numbers explicitly so you can vary them and see how robust the conclusion is.

Prevalence. Medullary thyroid carcinoma incidence is on the order of 1 to 2 per 100,000 per year, and it accounts for roughly 3 to 5% of thyroid malignancies. Prevalence of undiagnosed disease in an unselected adult population is higher than annual incidence but still very low; take 20 per 100,000, that is 0.02%, as a generous estimate. Including C-cell hyperplasia as a target raises the number, but hyperplasia is not itself a disease requiring intervention, so counting it inflates the apparent yield without adding value.

Test characteristics. Modern two-site immunoassays are sensitive for established medullary carcinoma — take 95%. Specificity is the problem: using a single upper reference limit without sex partitioning, 97% is a reasonable working figure, so 3% of unaffected people flag.

Per 100,000 people screened:

  • Affected: 100,000 × 0.0002 = 20 people. True positives = 20 × 0.95 = 19.
  • Unaffected: 100,000 − 20 = 99,980. False positives = 99,980 × 0.03 = 2,999.
  • Total positives = 19 + 2,999 = 3,018.
  • Positive predictive value = 19 ÷ 3,018 = 0.0063, or 0.63%.

So roughly 158 false alarms for every true case found. Put the other way: if your calcitonin comes back raised, the probability you have medullary thyroid carcinoma is under one in a hundred.

Vary the assumptions and the conclusion survives. Push specificity up to 99% and the false positives fall to 1,000, giving a PPV of 1.9% — still 52 false alarms per case. Push prevalence up tenfold, implausibly, and PPV reaches only 6% at 97% specificity. There is no plausible parameter set in an unselected population where a positive result is more likely true than false.

Note what this does not say. Calcitonin is an excellent test where it is used properly: monitoring known medullary carcinoma after thyroidectomy, and evaluating a nodule with a suggestive clinical picture. Prevalence there is orders of magnitude higher and the same test performs well. The test is not bad; the screening application is.

What raises calcitonin without cancer

The 3% false-positive rate is not assay imprecision, it is biology. Non-malignant causes include:

  • Male sex. Men have higher calcitonin than women, so a non-partitioned reference limit misclassifies men preferentially.
  • Chronic kidney disease — reduced clearance, substantial at low eGFR.
  • Proton pump inhibitors, through hypergastrinaemia stimulating C cells. Extremely common, frequently not mentioned by the patient, and a common cause of exactly this false positive.
  • Smoking; chronic autoimmune thyroiditis; hypercalcaemia and hyperparathyroidism.
  • Neuroendocrine tumours elsewhere — lung, pancreas — producing calcitonin ectopically.
  • Heterophilic and anti-reagent antibodies, the classic immunoassay artefact, producing spurious results that reproduce on the same platform.
  • Assay differences. Reference limits are method-specific and not interchangeable.

Notice how many of those are common in the population being offered this test.

What happens after a false positive

The cost side of the ledger, and not hypothetical. The conventional pathway: repeat the calcitonin, then thyroid ultrasound, then absent an explanation a stimulation test with calcium or pentagastrin, then fine-needle aspiration of any nodule found — and nodules are present in a large fraction of adults on high-resolution ultrasound, so something will be found. Indeterminate cytology then leads to diagnostic hemithyroidectomy in a non-trivial number of cases.

So a screening test with a PPV under 1% has a realistic path to a partial thyroidectomy, permanent levothyroxine dependence, and a small operative risk to the recurrent laryngeal nerve and parathyroids. For a person with no family history and no nodule, that trade is bad in expectation by a wide margin.

Why the label is non-committal

Because the manufacturers and regulators went through the above reasoning. The labelling states, in substance, that the value of routine monitoring of serum calcitonin or of thyroid ultrasound in treated patients is uncertain, and that such monitoring may increase the risk of unnecessary procedures owing to low test specificity. That is not evasiveness; it is the arithmetic above in regulatory prose. Professional thyroid guidance has likewise declined to endorse population calcitonin screening.

A clinic recommending it either has not done the arithmetic or is selling a panel. The charitable reading is that "a baseline lets anything subsequent be interpreted" borrows the logic that genuinely applies to creatinine and ALT — and it fails here because the follow-up test is not going to be ordered either, so the baseline has nothing to be compared against.

The version where it is worth having

With a first-degree relative with medullary thyroid carcinoma or a known MEN2 syndrome the whole calculation changes — and so does the correct test. There the drug class is contraindicated and the indicated investigation is germline RET mutation analysis, not a biomarker with 97% specificity. Also worth investigating rather than screening: a palpable neck lump, persistent hoarseness, or unexplained chronic diarrhoea with flushing.

Everything above is arithmetic and label reading, not medical advice, and the decision about what to screen belongs with a clinician who knows your family history properly.

edited 2 Dec 2025 by sian_llewellyn — tightened the wording; no substantive change

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answered · acceptedsian_llewellyn85k2484 Nov 2025
7158 false alarms per true case is the number to quote whenever a clinic offers this. – rae_oyelowo 2 months ago
6The PPI point catches people constantly — it is the single most common explanation for a mildly raised calcitonin. – tobias_maartens 10 months ago
The observation that the baseline is worthless because the follow-up will never be ordered either is the sharpest part of this. – k_szabo 8 months ago
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Adding the general principle, because the same arithmetic invalidates several other tests being sold in the same panels and it is worth being able to run it yourself in thirty seconds.

The rule of thumb: for a rare condition, the positive predictive value is approximately prevalence × sensitivity divided by the false-positive rate, as long as prevalence is small. Concretely, PPV is roughly prevalence divided by (1 − specificity), scaled by sensitivity. So:

  • Prevalence 0.02%, specificity 97%: 0.0002 ÷ 0.03 = 0.0067. Multiply by 0.95 sensitivity: 0.63%. Matches the full calculation above.
  • The dominant term is prevalence divided by the false-positive rate. Sensitivity barely matters. This is why "but the test is 95% accurate" is not a defence of a screening programme, and why improving sensitivity is almost worthless while improving specificity is everything.

Run it on the other things that turn up in pre-treatment panels:

  • Routine lipase or amylase. Not even a screening test for a rare disease; asymptomatic elevations are common on this drug class and do not predict pancreatitis, so the "sensitivity" question does not arise. Pure cost with a side of anxiety.
  • Tumour markers such as CA-125 or CEA in asymptomatic people. Same arithmetic, same conclusion, and both are raised by numerous benign conditions.
  • Whole-body imaging. Same structure with the specificity problem magnified, because the reservoir of clinically irrelevant incidental findings is enormous.

Contrast with the tests that do belong on a pre-treatment panel, and note what they have in common: they are not screening for rare diseases at all. A baseline creatinine, ALT, HbA1c or lipid panel is not looking for an occult tumour; it is establishing your own reference point so that a future value can be interpreted as a change. That is a completely different statistical activity, it is immune to the prevalence problem, and it is why the answer to "should I have baseline bloods" is yes while the answer to "should I have a baseline calcitonin" is no.

The distinction to hold on to: baseline measurement for future comparison is cheap and valuable; screening for rare disease with a moderately specific test is expensive and harmful. Panels sold commercially blend the two deliberately, because the second category is where the margin is.

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answeredmarcus_thorbjorn16k2824 Oct 2025
5Prevalence divided by the false-positive rate is the whole of screening theory in one line. – kwn_analytical 5 months ago
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12

A narrow practical note in case someone reading this already has a mildly raised calcitonin and is now alarmed rather than reassured.

The magnitude matters enormously and is the first thing to establish. Interpretation is method-specific, so the numbers below are indicative rather than universal, and your own lab's reference limits are the ones that apply:

  • Marginally above the upper reference limit — the region where the great majority of results sit — is where all the benign causes live. The sensible first steps are to identify whether any of them apply, particularly proton pump inhibitor use and renal function, and to repeat the measurement on the same platform after addressing them.
  • Substantially raised, in the range of several hundred pg/mL or above — the prior probability changes completely. Very high calcitonin has high specificity for medullary carcinoma, and at that level the test is being used in a population where it works.
  • Between those, the value of a stimulated test versus watchful repeat measurement is a genuine clinical judgement and not something to resolve from a table.

Two things worth asking your clinician explicitly, because they are easy to miss and both change the interpretation:

  • Was the sample handled correctly? Calcitonin is not the most robust analyte; pre-analytical handling matters, and a repeat on a properly handled sample resolves some anomalies.
  • Could this be an assay interference? If the result is out of keeping with everything else, asking the laboratory to check for heterophilic antibody interference or to run the sample on a different platform is a legitimate and cheap request that occasionally makes the whole problem disappear.

The general shape of a sane response to an unexpected mildly abnormal result — here, and for the ALT and creatinine cases discussed elsewhere — is the same: establish whether it is real before establishing what it means. Repeat, standardise the conditions, remove the obvious confounders, and only then investigate. The failure mode is escalating to imaging and biopsy on a single value.

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answeredlipid_panel_q44k13829 Jul 2025

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